Subject: [PATCH] the project
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Index: .ipynb_checkpoints/Phishing URL Detection-checkpoint.ipynb
IDEA additional info:
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+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "f41546c8",
+ "metadata": {},
+ "source": [
+ "# Phishing URL Detection \n",
+ "\n",
+ "The Internet has become an indispensable part of\n",
+ "our life, However, It also has provided opportunities to anonymously perform malicious activities like Phishing. Phishers try to deceive their victims by social engineering or creating mockup websites to steal information such as account ID, username, password from individuals and organizations. Although many methods have been proposed to detect phishing websites, Phishers have evolved their methods to escape from these detection methods. One of the most successful methods for detecting these malicious activities is Machine Learning. This is because most Phishing attacks have some common characteristics which can be identified by machine learning methods."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "86acf7a9",
+ "metadata": {},
+ "source": [
+ "The steps demonstrated in this notebook are:\n",
+ "\n",
+ "1. Loading the data\n",
+ "2. Familiarizing with data & EDA\n",
+ "3. Visualizing the data\n",
+ "4. Splitting the data\n",
+ "5. Training the data\n",
+ "6. Comparision of Model\n",
+ "7. Conclusion"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "id": "51ca7313",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#importing required libraries\n",
+ "\n",
+ "import numpy as np\n",
+ "import pandas as pd\n",
+ "import matplotlib.pyplot as plt\n",
+ "%matplotlib inline\n",
+ "import seaborn as sns\n",
+ "from sklearn import metrics \n",
+ "import warnings\n",
+ "warnings.filterwarnings('ignore')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "7db94f12",
+ "metadata": {},
+ "source": [
+ "## 1. Loading Data:\n",
+ "\n",
+ "The dataset is borrowed from Kaggle, https://www.kaggle.com/eswarchandt/phishing-website-detector .\n",
+ "\n",
+ "A collection of website URLs for 11000+ websites. Each sample has 30 website parameters and a class label identifying it as a phishing website or not (1 or -1).\n",
+ "\n",
+ "\n",
+ "The overview of this dataset is, it has 11054 samples with 32 features. Download the dataset from the link provided."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "ec491f22",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>Index</th>\n",
+ " <th>UsingIP</th>\n",
+ " <th>LongURL</th>\n",
+ " <th>ShortURL</th>\n",
+ " <th>Symbol@</th>\n",
+ " <th>Redirecting//</th>\n",
+ " <th>PrefixSuffix-</th>\n",
+ " <th>SubDomains</th>\n",
+ " <th>HTTPS</th>\n",
+ " <th>DomainRegLen</th>\n",
+ " <th>...</th>\n",
+ " <th>UsingPopupWindow</th>\n",
+ " <th>IframeRedirection</th>\n",
+ " <th>AgeofDomain</th>\n",
+ " <th>DNSRecording</th>\n",
+ " <th>WebsiteTraffic</th>\n",
+ " <th>PageRank</th>\n",
+ " <th>GoogleIndex</th>\n",
+ " <th>LinksPointingToPage</th>\n",
+ " <th>StatsReport</th>\n",
+ " <th>class</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>0</td>\n",
+ " <td>1</td>\n",
+ " <td>1</td>\n",
+ " <td>1</td>\n",
+ " <td>1</td>\n",
+ " <td>1</td>\n",
+ " <td>-1</td>\n",
+ " <td>0</td>\n",
+ " <td>1</td>\n",
+ " <td>-1</td>\n",
+ " <td>...</td>\n",
+ " <td>1</td>\n",
+ " <td>1</td>\n",
+ " <td>-1</td>\n",
+ " <td>-1</td>\n",
+ " <td>0</td>\n",
+ " <td>-1</td>\n",
+ " <td>1</td>\n",
+ " <td>1</td>\n",
+ " <td>1</td>\n",
+ " <td>-1</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>1</td>\n",
+ " <td>1</td>\n",
+ " <td>0</td>\n",
+ " <td>1</td>\n",
+ " <td>1</td>\n",
+ " <td>1</td>\n",
+ " <td>-1</td>\n",
+ " <td>-1</td>\n",
+ " <td>-1</td>\n",
+ " <td>-1</td>\n",
+ " <td>...</td>\n",
+ " <td>1</td>\n",
+ " <td>1</td>\n",
+ " <td>1</td>\n",
+ " <td>-1</td>\n",
+ " <td>1</td>\n",
+ " <td>-1</td>\n",
+ " <td>1</td>\n",
+ " <td>0</td>\n",
+ " <td>-1</td>\n",
+ " <td>-1</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>2</td>\n",
+ " <td>1</td>\n",
+ " <td>0</td>\n",
+ " <td>1</td>\n",
+ " <td>1</td>\n",
+ " <td>1</td>\n",
+ " <td>-1</td>\n",
+ " <td>-1</td>\n",
+ " <td>-1</td>\n",
+ " <td>1</td>\n",
+ " <td>...</td>\n",
+ " <td>1</td>\n",
+ " <td>1</td>\n",
+ " <td>-1</td>\n",
+ " <td>-1</td>\n",
+ " <td>1</td>\n",
+ " <td>-1</td>\n",
+ " <td>1</td>\n",
+ " <td>-1</td>\n",
+ " <td>1</td>\n",
+ " <td>-1</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>3</td>\n",
+ " <td>1</td>\n",
+ " <td>0</td>\n",
+ " <td>-1</td>\n",
+ " <td>1</td>\n",
+ " <td>1</td>\n",
+ " <td>-1</td>\n",
+ " <td>1</td>\n",
+ " <td>1</td>\n",
+ " <td>-1</td>\n",
+ " <td>...</td>\n",
+ " <td>-1</td>\n",
+ " <td>1</td>\n",
+ " <td>-1</td>\n",
+ " <td>-1</td>\n",
+ " <td>0</td>\n",
+ " <td>-1</td>\n",
+ " <td>1</td>\n",
+ " <td>1</td>\n",
+ " <td>1</td>\n",
+ " <td>1</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>4</td>\n",
+ " <td>-1</td>\n",
+ " <td>0</td>\n",
+ " <td>-1</td>\n",
+ " <td>1</td>\n",
+ " <td>-1</td>\n",
+ " <td>-1</td>\n",
+ " <td>1</td>\n",
+ " <td>1</td>\n",
+ " <td>-1</td>\n",
+ " <td>...</td>\n",
+ " <td>1</td>\n",
+ " <td>1</td>\n",
+ " <td>1</td>\n",
+ " <td>1</td>\n",
+ " <td>1</td>\n",
+ " <td>-1</td>\n",
+ " <td>1</td>\n",
+ " <td>-1</td>\n",
+ " <td>-1</td>\n",
+ " <td>1</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>5 rows × 32 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " Index UsingIP LongURL ShortURL Symbol@ Redirecting// PrefixSuffix- \\\n",
+ "0 0 1 1 1 1 1 -1 \n",
+ "1 1 1 0 1 1 1 -1 \n",
+ "2 2 1 0 1 1 1 -1 \n",
+ "3 3 1 0 -1 1 1 -1 \n",
+ "4 4 -1 0 -1 1 -1 -1 \n",
+ "\n",
+ " SubDomains HTTPS DomainRegLen ... UsingPopupWindow IframeRedirection \\\n",
+ "0 0 1 -1 ... 1 1 \n",
+ "1 -1 -1 -1 ... 1 1 \n",
+ "2 -1 -1 1 ... 1 1 \n",
+ "3 1 1 -1 ... -1 1 \n",
+ "4 1 1 -1 ... 1 1 \n",
+ "\n",
+ " AgeofDomain DNSRecording WebsiteTraffic PageRank GoogleIndex \\\n",
+ "0 -1 -1 0 -1 1 \n",
+ "1 1 -1 1 -1 1 \n",
+ "2 -1 -1 1 -1 1 \n",
+ "3 -1 -1 0 -1 1 \n",
+ "4 1 1 1 -1 1 \n",
+ "\n",
+ " LinksPointingToPage StatsReport class \n",
+ "0 1 1 -1 \n",
+ "1 0 -1 -1 \n",
+ "2 -1 1 -1 \n",
+ "3 1 1 1 \n",
+ "4 -1 -1 1 \n",
+ "\n",
+ "[5 rows x 32 columns]"
+ ]
+ },
+ "execution_count": 2,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "#Loading data into dataframe\n",
+ "\n",
+ "data = pd.read_csv(\"phishing.csv\")\n",
+ "data.head()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "0413b490",
+ "metadata": {},
+ "source": [
+ "## 2. Familiarizing with Data & EDA:\n",
+ "In this step, few dataframe methods are used to look into the data and its features."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "id": "9ccdddc5",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "(11054, 32)"
+ ]
+ },
+ "execution_count": 3,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "#Shape of dataframe\n",
+ "\n",
+ "data.shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "id": "c1e2ca3b",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "Index(['Index', 'UsingIP', 'LongURL', 'ShortURL', 'Symbol@', 'Redirecting//',\n",
+ " 'PrefixSuffix-', 'SubDomains', 'HTTPS', 'DomainRegLen', 'Favicon',\n",
+ " 'NonStdPort', 'HTTPSDomainURL', 'RequestURL', 'AnchorURL',\n",
+ " 'LinksInScriptTags', 'ServerFormHandler', 'InfoEmail', 'AbnormalURL',\n",
+ " 'WebsiteForwarding', 'StatusBarCust', 'DisableRightClick',\n",
+ " 'UsingPopupWindow', 'IframeRedirection', 'AgeofDomain', 'DNSRecording',\n",
+ " 'WebsiteTraffic', 'PageRank', 'GoogleIndex', 'LinksPointingToPage',\n",
+ " 'StatsReport', 'class'],\n",
+ " dtype='object')"
+ ]
+ },
+ "execution_count": 4,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "#Listing the features of the dataset\n",
+ "\n",
+ "data.columns"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "id": "8ec005bb",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "<class 'pandas.core.frame.DataFrame'>\n",
+ "RangeIndex: 11054 entries, 0 to 11053\n",
+ "Data columns (total 32 columns):\n",
+ " # Column Non-Null Count Dtype\n",
+ "--- ------ -------------- -----\n",
+ " 0 Index 11054 non-null int64\n",
+ " 1 UsingIP 11054 non-null int64\n",
+ " 2 LongURL 11054 non-null int64\n",
+ " 3 ShortURL 11054 non-null int64\n",
+ " 4 Symbol@ 11054 non-null int64\n",
+ " 5 Redirecting// 11054 non-null int64\n",
+ " 6 PrefixSuffix- 11054 non-null int64\n",
+ " 7 SubDomains 11054 non-null int64\n",
+ " 8 HTTPS 11054 non-null int64\n",
+ " 9 DomainRegLen 11054 non-null int64\n",
+ " 10 Favicon 11054 non-null int64\n",
+ " 11 NonStdPort 11054 non-null int64\n",
+ " 12 HTTPSDomainURL 11054 non-null int64\n",
+ " 13 RequestURL 11054 non-null int64\n",
+ " 14 AnchorURL 11054 non-null int64\n",
+ " 15 LinksInScriptTags 11054 non-null int64\n",
+ " 16 ServerFormHandler 11054 non-null int64\n",
+ " 17 InfoEmail 11054 non-null int64\n",
+ " 18 AbnormalURL 11054 non-null int64\n",
+ " 19 WebsiteForwarding 11054 non-null int64\n",
+ " 20 StatusBarCust 11054 non-null int64\n",
+ " 21 DisableRightClick 11054 non-null int64\n",
+ " 22 UsingPopupWindow 11054 non-null int64\n",
+ " 23 IframeRedirection 11054 non-null int64\n",
+ " 24 AgeofDomain 11054 non-null int64\n",
+ " 25 DNSRecording 11054 non-null int64\n",
+ " 26 WebsiteTraffic 11054 non-null int64\n",
+ " 27 PageRank 11054 non-null int64\n",
+ " 28 GoogleIndex 11054 non-null int64\n",
+ " 29 LinksPointingToPage 11054 non-null int64\n",
+ " 30 StatsReport 11054 non-null int64\n",
+ " 31 class 11054 non-null int64\n",
+ "dtypes: int64(32)\n",
+ "memory usage: 2.7 MB\n"
+ ]
+ }
+ ],
+ "source": [
+ "#Information about the dataset\n",
+ "\n",
+ "data.info()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "id": "18c1e021",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "Index 11054\n",
+ "UsingIP 2\n",
+ "LongURL 3\n",
+ "ShortURL 2\n",
+ "Symbol@ 2\n",
+ "Redirecting// 2\n",
+ "PrefixSuffix- 2\n",
+ "SubDomains 3\n",
+ "HTTPS 3\n",
+ "DomainRegLen 2\n",
+ "Favicon 2\n",
+ "NonStdPort 2\n",
+ "HTTPSDomainURL 2\n",
+ "RequestURL 2\n",
+ "AnchorURL 3\n",
+ "LinksInScriptTags 3\n",
+ "ServerFormHandler 3\n",
+ "InfoEmail 2\n",
+ "AbnormalURL 2\n",
+ "WebsiteForwarding 2\n",
+ "StatusBarCust 2\n",
+ "DisableRightClick 2\n",
+ "UsingPopupWindow 2\n",
+ "IframeRedirection 2\n",
+ "AgeofDomain 2\n",
+ "DNSRecording 2\n",
+ "WebsiteTraffic 3\n",
+ "PageRank 2\n",
+ "GoogleIndex 2\n",
+ "LinksPointingToPage 3\n",
+ "StatsReport 2\n",
+ "class 2\n",
+ "dtype: int64"
+ ]
+ },
+ "execution_count": 6,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# nunique value in columns\n",
+ "\n",
+ "data.nunique()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "id": "0df0debc",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#droping index column\n",
+ "\n",
+ "data = data.drop(['Index'],axis = 1)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "id": "d4c7df9b",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>count</th>\n",
+ " <th>mean</th>\n",
+ " <th>std</th>\n",
+ " <th>min</th>\n",
+ " <th>25%</th>\n",
+ " <th>50%</th>\n",
+ " <th>75%</th>\n",
+ " <th>max</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>UsingIP</th>\n",
+ " <td>11054.0</td>\n",
+ " <td>0.313914</td>\n",
+ " <td>0.949495</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>LongURL</th>\n",
+ " <td>11054.0</td>\n",
+ " <td>-0.633345</td>\n",
+ " <td>0.765973</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>1.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>ShortURL</th>\n",
+ " <td>11054.0</td>\n",
+ " <td>0.738737</td>\n",
+ " <td>0.674024</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Symbol@</th>\n",
+ " <td>11054.0</td>\n",
+ " <td>0.700561</td>\n",
+ " <td>0.713625</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Redirecting//</th>\n",
+ " <td>11054.0</td>\n",
+ " <td>0.741632</td>\n",
+ " <td>0.670837</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>PrefixSuffix-</th>\n",
+ " <td>11054.0</td>\n",
+ " <td>-0.734938</td>\n",
+ " <td>0.678165</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>1.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>SubDomains</th>\n",
+ " <td>11054.0</td>\n",
+ " <td>0.064049</td>\n",
+ " <td>0.817492</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>HTTPS</th>\n",
+ " <td>11054.0</td>\n",
+ " <td>0.251040</td>\n",
+ " <td>0.911856</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>DomainRegLen</th>\n",
+ " <td>11054.0</td>\n",
+ " <td>-0.336711</td>\n",
+ " <td>0.941651</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Favicon</th>\n",
+ " <td>11054.0</td>\n",
+ " <td>0.628551</td>\n",
+ " <td>0.777804</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>NonStdPort</th>\n",
+ " <td>11054.0</td>\n",
+ " <td>0.728243</td>\n",
+ " <td>0.685350</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>HTTPSDomainURL</th>\n",
+ " <td>11054.0</td>\n",
+ " <td>0.675231</td>\n",
+ " <td>0.737640</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>RequestURL</th>\n",
+ " <td>11054.0</td>\n",
+ " <td>0.186720</td>\n",
+ " <td>0.982458</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>AnchorURL</th>\n",
+ " <td>11054.0</td>\n",
+ " <td>-0.076443</td>\n",
+ " <td>0.715116</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>1.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>LinksInScriptTags</th>\n",
+ " <td>11054.0</td>\n",
+ " <td>-0.118238</td>\n",
+ " <td>0.763933</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>1.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>ServerFormHandler</th>\n",
+ " <td>11054.0</td>\n",
+ " <td>-0.595712</td>\n",
+ " <td>0.759168</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>1.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>InfoEmail</th>\n",
+ " <td>11054.0</td>\n",
+ " <td>0.635788</td>\n",
+ " <td>0.771899</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>AbnormalURL</th>\n",
+ " <td>11054.0</td>\n",
+ " <td>0.705446</td>\n",
+ " <td>0.708796</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>WebsiteForwarding</th>\n",
+ " <td>11054.0</td>\n",
+ " <td>0.115705</td>\n",
+ " <td>0.319885</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>1.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>StatusBarCust</th>\n",
+ " <td>11054.0</td>\n",
+ " <td>0.762077</td>\n",
+ " <td>0.647516</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>DisableRightClick</th>\n",
+ " <td>11054.0</td>\n",
+ " <td>0.913877</td>\n",
+ " <td>0.406009</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>UsingPopupWindow</th>\n",
+ " <td>11054.0</td>\n",
+ " <td>0.613353</td>\n",
+ " <td>0.789845</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>IframeRedirection</th>\n",
+ " <td>11054.0</td>\n",
+ " <td>0.816899</td>\n",
+ " <td>0.576807</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>AgeofDomain</th>\n",
+ " <td>11054.0</td>\n",
+ " <td>0.061335</td>\n",
+ " <td>0.998162</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>DNSRecording</th>\n",
+ " <td>11054.0</td>\n",
+ " <td>0.377239</td>\n",
+ " <td>0.926158</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>WebsiteTraffic</th>\n",
+ " <td>11054.0</td>\n",
+ " <td>0.287407</td>\n",
+ " <td>0.827680</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>PageRank</th>\n",
+ " <td>11054.0</td>\n",
+ " <td>-0.483626</td>\n",
+ " <td>0.875314</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>GoogleIndex</th>\n",
+ " <td>11054.0</td>\n",
+ " <td>0.721549</td>\n",
+ " <td>0.692395</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>LinksPointingToPage</th>\n",
+ " <td>11054.0</td>\n",
+ " <td>0.343948</td>\n",
+ " <td>0.569936</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>StatsReport</th>\n",
+ " <td>11054.0</td>\n",
+ " <td>0.719739</td>\n",
+ " <td>0.694276</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>class</th>\n",
+ " <td>11054.0</td>\n",
+ " <td>0.113986</td>\n",
+ " <td>0.993527</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.0</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " count mean std min 25% 50% 75% max\n",
+ "UsingIP 11054.0 0.313914 0.949495 -1.0 -1.0 1.0 1.0 1.0\n",
+ "LongURL 11054.0 -0.633345 0.765973 -1.0 -1.0 -1.0 -1.0 1.0\n",
+ "ShortURL 11054.0 0.738737 0.674024 -1.0 1.0 1.0 1.0 1.0\n",
+ "Symbol@ 11054.0 0.700561 0.713625 -1.0 1.0 1.0 1.0 1.0\n",
+ "Redirecting// 11054.0 0.741632 0.670837 -1.0 1.0 1.0 1.0 1.0\n",
+ "PrefixSuffix- 11054.0 -0.734938 0.678165 -1.0 -1.0 -1.0 -1.0 1.0\n",
+ "SubDomains 11054.0 0.064049 0.817492 -1.0 -1.0 0.0 1.0 1.0\n",
+ "HTTPS 11054.0 0.251040 0.911856 -1.0 -1.0 1.0 1.0 1.0\n",
+ "DomainRegLen 11054.0 -0.336711 0.941651 -1.0 -1.0 -1.0 1.0 1.0\n",
+ "Favicon 11054.0 0.628551 0.777804 -1.0 1.0 1.0 1.0 1.0\n",
+ "NonStdPort 11054.0 0.728243 0.685350 -1.0 1.0 1.0 1.0 1.0\n",
+ "HTTPSDomainURL 11054.0 0.675231 0.737640 -1.0 1.0 1.0 1.0 1.0\n",
+ "RequestURL 11054.0 0.186720 0.982458 -1.0 -1.0 1.0 1.0 1.0\n",
+ "AnchorURL 11054.0 -0.076443 0.715116 -1.0 -1.0 0.0 0.0 1.0\n",
+ "LinksInScriptTags 11054.0 -0.118238 0.763933 -1.0 -1.0 0.0 0.0 1.0\n",
+ "ServerFormHandler 11054.0 -0.595712 0.759168 -1.0 -1.0 -1.0 -1.0 1.0\n",
+ "InfoEmail 11054.0 0.635788 0.771899 -1.0 1.0 1.0 1.0 1.0\n",
+ "AbnormalURL 11054.0 0.705446 0.708796 -1.0 1.0 1.0 1.0 1.0\n",
+ "WebsiteForwarding 11054.0 0.115705 0.319885 0.0 0.0 0.0 0.0 1.0\n",
+ "StatusBarCust 11054.0 0.762077 0.647516 -1.0 1.0 1.0 1.0 1.0\n",
+ "DisableRightClick 11054.0 0.913877 0.406009 -1.0 1.0 1.0 1.0 1.0\n",
+ "UsingPopupWindow 11054.0 0.613353 0.789845 -1.0 1.0 1.0 1.0 1.0\n",
+ "IframeRedirection 11054.0 0.816899 0.576807 -1.0 1.0 1.0 1.0 1.0\n",
+ "AgeofDomain 11054.0 0.061335 0.998162 -1.0 -1.0 1.0 1.0 1.0\n",
+ "DNSRecording 11054.0 0.377239 0.926158 -1.0 -1.0 1.0 1.0 1.0\n",
+ "WebsiteTraffic 11054.0 0.287407 0.827680 -1.0 0.0 1.0 1.0 1.0\n",
+ "PageRank 11054.0 -0.483626 0.875314 -1.0 -1.0 -1.0 1.0 1.0\n",
+ "GoogleIndex 11054.0 0.721549 0.692395 -1.0 1.0 1.0 1.0 1.0\n",
+ "LinksPointingToPage 11054.0 0.343948 0.569936 -1.0 0.0 0.0 1.0 1.0\n",
+ "StatsReport 11054.0 0.719739 0.694276 -1.0 1.0 1.0 1.0 1.0\n",
+ "class 11054.0 0.113986 0.993527 -1.0 -1.0 1.0 1.0 1.0"
+ ]
+ },
+ "execution_count": 8,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "#description of dataset\n",
+ "\n",
+ "data.describe().T"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "48657bd4",
+ "metadata": {},
+ "source": [
+ "data_set.append(9 OBSERVATIONS:\n",
+ "1. There are 11054 instances and 31 fearures in dataset.\n",
+ "2. Out of which 30 are independent features where as 1 is dependent feature.\n",
+ "3. Each feature is in int datatype, so there is no need to use LabelEncoder.\n",
+ "4. There is no outlier present in dataset.\n",
+ "5. There is no missing value in dataset."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "d1cda572",
+ "metadata": {},
+ "source": [
+ "## 3. Visualizing the data:\n",
+ "Few plots and graphs are displayed to find how the data is distributed and the how features are related to each other."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "id": "60aef83b",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 1500x1500 with 2 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "#Correlation heatmap\n",
+ "\n",
+ "plt.figure(figsize=(15,15))\n",
+ "sns.heatmap(data.corr(), annot=True)\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "id": "5b0d89d0",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 1313.75x1250 with 20 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "#pairplot for particular features\n",
+ "\n",
+ "df = data[['PrefixSuffix-', 'SubDomains', 'HTTPS','AnchorURL','WebsiteTraffic','class']]\n",
+ "sns.pairplot(data = df,hue=\"class\",corner=True);\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "id": "1999dba3",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 640x480 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Phishing Count in pie chart\n",
+ "\n",
+ "data['class'].value_counts().plot(kind='pie',autopct='%1.2f%%')\n",
+ "plt.title(\"Phishing Count\")\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "3eee8c08",
+ "metadata": {},
+ "source": [
+ "## 4. Splitting the Data:\n",
+ "The data is split into train & test sets, 80-20 split."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "id": "f3d90a24",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Splitting the dataset into dependant and independant fetature\n",
+ "\n",
+ "X = data.drop([\"class\"],axis =1)\n",
+ "y = data[\"class\"]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "id": "9de941d7",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "((8843, 30), (8843,), (2211, 30), (2211,))"
+ ]
+ },
+ "execution_count": 13,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Splitting the dataset into train and test sets: 80-20 split\n",
+ "\n",
+ "from sklearn.model_selection import train_test_split\n",
+ "\n",
+ "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.2, random_state = 42)\n",
+ "X_train.shape, y_train.shape, X_test.shape, y_test.shape"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "1f1ae9dc",
+ "metadata": {},
+ "source": [
+ "## 5. Model Building & Training:\n",
+ " Supervised machine learning is one of the most commonly used and successful types of machine learning. Supervised learning is used whenever we want to predict a certain outcome/label from a given set of features, and we have examples of features-label pairs. We build a machine learning model from these features-label pairs, which comprise our training set. Our goal is to make accurate predictions for new, never-before-seen data.\n",
+ "\n",
+ " There are two major types of supervised machine learning problems, called classification and regression. Our data set comes under regression problem, as the prediction of suicide rate is a continuous number, or a floating-point number in programming terms. The supervised machine learning models (regression) considered to train the dataset in this notebook are:\n",
+ "\n",
+ "1. Logistic Regression\n",
+ "2. k-Nearest Neighbors \n",
+ "3. Support Vector Clasifier\n",
+ "4. Naive Bayes\n",
+ "5. Decision Tree\n",
+ "6. Random Forest\n",
+ "7. Gradient Boosting\n",
+ "8. Catboost\n",
+ "9. Xgboost\n",
+ "10. Multilayer Perceptrons\n",
+ "\n",
+ " \n",
+ " The metrics considered to evaluate the model performance are Accuracy & F1 score."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "id": "55ac1416",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Creating holders to store the model performance results\n",
+ "ML_Model = []\n",
+ "accuracy = []\n",
+ "f1_score = []\n",
+ "recall = []\n",
+ "precision = []\n",
+ "\n",
+ "#function to call for storing the results\n",
+ "def storeResults(model, a,b,c,d):\n",
+ " ML_Model.append(model)\n",
+ " accuracy.append(round(a, 3))\n",
+ " f1_score.append(round(b, 3))\n",
+ " recall.append(round(c, 3))\n",
+ " precision.append(round(d, 3))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "a8724a53",
+ "metadata": {},
+ "source": [
+ "## 5.1. Logistic Regression\n",
+ "\n",
+ "Logistic regression predicts the output of a categorical dependent variable. Therefore the outcome must be a categorical or discrete value. Logistic Regression is much similar to the Linear Regression except that how they are used. Linear Regression is used for solving Regression problems, whereas Logistic regression is used for solving the classification problems."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "id": "1aa0632f",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<style>#sk-container-id-1 {color: black;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LogisticRegression</label><div class=\"sk-toggleable__content\"><pre>LogisticRegression()</pre></div></div></div></div></div>"
+ ],
+ "text/plain": [
+ "LogisticRegression()"
+ ]
+ },
+ "execution_count": 15,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Linear regression model \n",
+ "from sklearn.linear_model import LogisticRegression\n",
+ "#from sklearn.pipeline import Pipeline\n",
+ "\n",
+ "# instantiate the model\n",
+ "log = LogisticRegression()\n",
+ "\n",
+ "# fit the model \n",
+ "log.fit(X_train,y_train)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "id": "66af98cc",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#predicting the target value from the model for the samples\n",
+ "\n",
+ "y_train_log = log.predict(X_train)\n",
+ "y_test_log = log.predict(X_test)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "id": "bd4f1e81",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Logistic Regression : Accuracy on training Data: 0.927\n",
+ "Logistic Regression : Accuracy on test Data: 0.934\n",
+ "\n",
+ "Logistic Regression : f1_score on training Data: 0.935\n",
+ "Logistic Regression : f1_score on test Data: 0.941\n",
+ "\n",
+ "Logistic Regression : Recall on training Data: 0.943\n",
+ "Logistic Regression : Recall on test Data: 0.953\n",
+ "\n",
+ "Logistic Regression : precision on training Data: 0.927\n",
+ "Logistic Regression : precision on test Data: 0.930\n"
+ ]
+ }
+ ],
+ "source": [
+ "#computing the accuracy, f1_score, Recall, precision of the model performance\n",
+ "\n",
+ "acc_train_log = metrics.accuracy_score(y_train,y_train_log)\n",
+ "acc_test_log = metrics.accuracy_score(y_test,y_test_log)\n",
+ "print(\"Logistic Regression : Accuracy on training Data: {:.3f}\".format(acc_train_log))\n",
+ "print(\"Logistic Regression : Accuracy on test Data: {:.3f}\".format(acc_test_log))\n",
+ "print()\n",
+ "\n",
+ "f1_score_train_log = metrics.f1_score(y_train,y_train_log)\n",
+ "f1_score_test_log = metrics.f1_score(y_test,y_test_log)\n",
+ "print(\"Logistic Regression : f1_score on training Data: {:.3f}\".format(f1_score_train_log))\n",
+ "print(\"Logistic Regression : f1_score on test Data: {:.3f}\".format(f1_score_test_log))\n",
+ "print()\n",
+ "\n",
+ "recall_score_train_log = metrics.recall_score(y_train,y_train_log)\n",
+ "recall_score_test_log = metrics.recall_score(y_test,y_test_log)\n",
+ "print(\"Logistic Regression : Recall on training Data: {:.3f}\".format(recall_score_train_log))\n",
+ "print(\"Logistic Regression : Recall on test Data: {:.3f}\".format(recall_score_test_log))\n",
+ "print()\n",
+ "\n",
+ "precision_score_train_log = metrics.precision_score(y_train,y_train_log)\n",
+ "precision_score_test_log = metrics.precision_score(y_test,y_test_log)\n",
+ "print(\"Logistic Regression : precision on training Data: {:.3f}\".format(precision_score_train_log))\n",
+ "print(\"Logistic Regression : precision on test Data: {:.3f}\".format(precision_score_test_log))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "id": "314ae927",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " precision recall f1-score support\n",
+ "\n",
+ " -1 0.94 0.91 0.92 976\n",
+ " 1 0.93 0.95 0.94 1235\n",
+ "\n",
+ " accuracy 0.93 2211\n",
+ " macro avg 0.93 0.93 0.93 2211\n",
+ "weighted avg 0.93 0.93 0.93 2211\n",
+ "\n"
+ ]
+ }
+ ],
+ "source": [
+ "#computing the classification report of the model\n",
+ "\n",
+ "print(metrics.classification_report(y_test, y_test_log))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "id": "e557df04",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#storing the results. The below mentioned order of parameter passing is important.\n",
+ "\n",
+ "storeResults('Logistic Regression',acc_test_log,f1_score_test_log,\n",
+ " recall_score_train_log,precision_score_train_log)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "b8bc8b53",
+ "metadata": {},
+ "source": [
+ "## 5.3. Support Vector Machine : Classifier\n",
+ "\n",
+ "Support Vector Machine or SVM is one of the most popular Supervised Learning algorithms, which is used for Classification as well as Regression problems. The goal of the SVM algorithm is to create the best line or decision boundary that can segregate n-dimensional space into classes so that we can easily put the new data point in the correct category in the future."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 26,
+ "id": "be3cb194",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<style>#sk-container-id-3 {color: black;}#sk-container-id-3 pre{padding: 0;}#sk-container-id-3 div.sk-toggleable {background-color: white;}#sk-container-id-3 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-3 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-3 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-3 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-3 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-3 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-3 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-3 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-3 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-3 div.sk-item {position: relative;z-index: 1;}#sk-container-id-3 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-3 div.sk-item::before, #sk-container-id-3 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-3 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-3 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-3 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-3 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-3 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-3 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-3 div.sk-label-container {text-align: center;}#sk-container-id-3 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-3 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-3\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>GridSearchCV(estimator=SVC(),\n",
+ " param_grid={'gamma': [0.1], 'kernel': ['rbf', 'linear']})</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" ><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">GridSearchCV</label><div class=\"sk-toggleable__content\"><pre>GridSearchCV(estimator=SVC(),\n",
+ " param_grid={'gamma': [0.1], 'kernel': ['rbf', 'linear']})</pre></div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-4\" type=\"checkbox\" ><label for=\"sk-estimator-id-4\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">estimator: SVC</label><div class=\"sk-toggleable__content\"><pre>SVC()</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-5\" type=\"checkbox\" ><label for=\"sk-estimator-id-5\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">SVC</label><div class=\"sk-toggleable__content\"><pre>SVC()</pre></div></div></div></div></div></div></div></div></div></div>"
+ ],
+ "text/plain": [
+ "GridSearchCV(estimator=SVC(),\n",
+ " param_grid={'gamma': [0.1], 'kernel': ['rbf', 'linear']})"
+ ]
+ },
+ "execution_count": 26,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Support Vector Classifier model \n",
+ "from sklearn.svm import SVC\n",
+ "from sklearn.model_selection import GridSearchCV\n",
+ "\n",
+ "# defining parameter range\n",
+ "param_grid = {'gamma': [0.1],'kernel': ['rbf','linear']}\n",
+ "\n",
+ "svc = GridSearchCV(SVC(), param_grid)\n",
+ "\n",
+ "# fitting the model for grid search\n",
+ "svc.fit(X_train, y_train)\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 27,
+ "id": "2b25eef4",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#predicting the target value from the model for the samples\n",
+ "y_train_svc = svc.predict(X_train)\n",
+ "y_test_svc = svc.predict(X_test)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 28,
+ "id": "079d4b39",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Support Vector Machine : Accuracy on training Data: 0.969\n",
+ "Support Vector Machine : Accuracy on test Data: 0.964\n",
+ "\n",
+ "Support Vector Machine : f1_score on training Data: 0.973\n",
+ "Support Vector Machine : f1_score on test Data: 0.968\n",
+ "\n",
+ "Support Vector Machine : Recall on training Data: 0.980\n",
+ "Support Vector Machine : Recall on test Data: 0.980\n",
+ "\n",
+ "Support Vector Machine : precision on training Data: 0.965\n",
+ "Support Vector Machine : precision on test Data: 0.957\n"
+ ]
+ }
+ ],
+ "source": [
+ "#computing the accuracy, f1_score, Recall, precision of the model performance\n",
+ "\n",
+ "acc_train_svc = metrics.accuracy_score(y_train,y_train_svc)\n",
+ "acc_test_svc = metrics.accuracy_score(y_test,y_test_svc)\n",
+ "print(\"Support Vector Machine : Accuracy on training Data: {:.3f}\".format(acc_train_svc))\n",
+ "print(\"Support Vector Machine : Accuracy on test Data: {:.3f}\".format(acc_test_svc))\n",
+ "print()\n",
+ "\n",
+ "f1_score_train_svc = metrics.f1_score(y_train,y_train_svc)\n",
+ "f1_score_test_svc = metrics.f1_score(y_test,y_test_svc)\n",
+ "print(\"Support Vector Machine : f1_score on training Data: {:.3f}\".format(f1_score_train_svc))\n",
+ "print(\"Support Vector Machine : f1_score on test Data: {:.3f}\".format(f1_score_test_svc))\n",
+ "print()\n",
+ "\n",
+ "recall_score_train_svc = metrics.recall_score(y_train,y_train_svc)\n",
+ "recall_score_test_svc = metrics.recall_score(y_test,y_test_svc)\n",
+ "print(\"Support Vector Machine : Recall on training Data: {:.3f}\".format(recall_score_train_svc))\n",
+ "print(\"Support Vector Machine : Recall on test Data: {:.3f}\".format(recall_score_test_svc))\n",
+ "print()\n",
+ "\n",
+ "precision_score_train_svc = metrics.precision_score(y_train,y_train_svc)\n",
+ "precision_score_test_svc = metrics.precision_score(y_test,y_test_svc)\n",
+ "print(\"Support Vector Machine : precision on training Data: {:.3f}\".format(precision_score_train_svc))\n",
+ "print(\"Support Vector Machine : precision on test Data: {:.3f}\".format(precision_score_test_svc))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 29,
+ "id": "b80c577b",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " precision recall f1-score support\n",
+ "\n",
+ " -1 0.97 0.94 0.96 976\n",
+ " 1 0.96 0.98 0.97 1235\n",
+ "\n",
+ " accuracy 0.96 2211\n",
+ " macro avg 0.97 0.96 0.96 2211\n",
+ "weighted avg 0.96 0.96 0.96 2211\n",
+ "\n"
+ ]
+ }
+ ],
+ "source": [
+ "#computing the classification report of the model\n",
+ "\n",
+ "print(metrics.classification_report(y_test, y_test_svc))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 30,
+ "id": "b82e2f70",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#storing the results. The below mentioned order of parameter passing is important.\n",
+ "\n",
+ "storeResults('Support Vector Machine',acc_test_svc,f1_score_test_svc,\n",
+ " recall_score_train_svc,precision_score_train_svc)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "8ba22f40",
+ "metadata": {},
+ "source": [
+ "## 5.4. Naive Bayes : Classifier\n",
+ "\n",
+ "Naïve Bayes algorithm is a supervised learning algorithm, which is based on Bayes theorem and used for solving classification problems.It is mainly used in text, image classification that includes a high-dimensional training dataset. Naïve Bayes Classifier is one of the simple and most effective Classification algorithms which helps in building the fast machine learning models that can make quick predictions."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 31,
+ "id": "69469f59",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<style>#sk-container-id-4 {color: black;}#sk-container-id-4 pre{padding: 0;}#sk-container-id-4 div.sk-toggleable {background-color: white;}#sk-container-id-4 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-4 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-4 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-4 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-4 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-4 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-4 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-4 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-4 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-4 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-4 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-4 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-4 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-4 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-4 div.sk-item {position: relative;z-index: 1;}#sk-container-id-4 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-4 div.sk-item::before, #sk-container-id-4 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-4 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-4 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-4 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-4 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-4 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-4 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-4 div.sk-label-container {text-align: center;}#sk-container-id-4 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-4 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-4\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>GaussianNB()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-6\" type=\"checkbox\" checked><label for=\"sk-estimator-id-6\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">GaussianNB</label><div class=\"sk-toggleable__content\"><pre>GaussianNB()</pre></div></div></div></div></div>"
+ ],
+ "text/plain": [
+ "GaussianNB()"
+ ]
+ },
+ "execution_count": 31,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Naive Bayes Classifier Model\n",
+ "from sklearn.naive_bayes import GaussianNB\n",
+ "from sklearn.pipeline import Pipeline\n",
+ "\n",
+ "# instantiate the model\n",
+ "nb= GaussianNB()\n",
+ "\n",
+ "# fit the model \n",
+ "nb.fit(X_train,y_train)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 32,
+ "id": "d5af1028",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#predicting the target value from the model for the samples\n",
+ "y_train_nb = nb.predict(X_train)\n",
+ "y_test_nb = nb.predict(X_test)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 33,
+ "id": "63968c7a",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Naive Bayes Classifier : Accuracy on training Data: 0.605\n",
+ "Naive Bayes Classifier : Accuracy on test Data: 0.605\n",
+ "\n",
+ "Naive Bayes Classifier : f1_score on training Data: 0.451\n",
+ "Naive Bayes Classifier : f1_score on test Data: 0.454\n",
+ "\n",
+ "Naive Bayes Classifier : Recall on training Data: 0.292\n",
+ "Naive Bayes Classifier : Recall on test Data: 0.294\n",
+ "\n",
+ "Naive Bayes Classifier : precision on training Data: 0.997\n",
+ "Naive Bayes Classifier : precision on test Data: 0.995\n"
+ ]
+ }
+ ],
+ "source": [
+ "#computing the accuracy, f1_score, Recall, precision of the model performance\n",
+ "\n",
+ "acc_train_nb = metrics.accuracy_score(y_train,y_train_nb)\n",
+ "acc_test_nb = metrics.accuracy_score(y_test,y_test_nb)\n",
+ "print(\"Naive Bayes Classifier : Accuracy on training Data: {:.3f}\".format(acc_train_nb))\n",
+ "print(\"Naive Bayes Classifier : Accuracy on test Data: {:.3f}\".format(acc_test_nb))\n",
+ "print()\n",
+ "\n",
+ "f1_score_train_nb = metrics.f1_score(y_train,y_train_nb)\n",
+ "f1_score_test_nb = metrics.f1_score(y_test,y_test_nb)\n",
+ "print(\"Naive Bayes Classifier : f1_score on training Data: {:.3f}\".format(f1_score_train_nb))\n",
+ "print(\"Naive Bayes Classifier : f1_score on test Data: {:.3f}\".format(f1_score_test_nb))\n",
+ "print()\n",
+ "\n",
+ "recall_score_train_nb = metrics.recall_score(y_train,y_train_nb)\n",
+ "recall_score_test_nb = metrics.recall_score(y_test,y_test_nb)\n",
+ "print(\"Naive Bayes Classifier : Recall on training Data: {:.3f}\".format(recall_score_train_nb))\n",
+ "print(\"Naive Bayes Classifier : Recall on test Data: {:.3f}\".format(recall_score_test_nb))\n",
+ "print()\n",
+ "\n",
+ "precision_score_train_nb = metrics.precision_score(y_train,y_train_nb)\n",
+ "precision_score_test_nb = metrics.precision_score(y_test,y_test_nb)\n",
+ "print(\"Naive Bayes Classifier : precision on training Data: {:.3f}\".format(precision_score_train_nb))\n",
+ "print(\"Naive Bayes Classifier : precision on test Data: {:.3f}\".format(precision_score_test_nb))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 34,
+ "id": "cb7d8f0b",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " precision recall f1-score support\n",
+ "\n",
+ " -1 0.97 0.94 0.96 976\n",
+ " 1 0.96 0.98 0.97 1235\n",
+ "\n",
+ " accuracy 0.96 2211\n",
+ " macro avg 0.97 0.96 0.96 2211\n",
+ "weighted avg 0.96 0.96 0.96 2211\n",
+ "\n"
+ ]
+ }
+ ],
+ "source": [
+ "#computing the classification report of the model\n",
+ "\n",
+ "print(metrics.classification_report(y_test, y_test_svc))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 35,
+ "id": "51080f01",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#storing the results. The below mentioned order of parameter passing is important.\n",
+ "\n",
+ "storeResults('Naive Bayes Classifier',acc_test_nb,f1_score_test_nb,\n",
+ " recall_score_train_nb,precision_score_train_nb)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "bffea1bb",
+ "metadata": {},
+ "source": [
+ "## 5.5. Decision Trees : Classifier\n",
+ "\n",
+ "Decision Tree is a Supervised learning technique that can be used for both classification and Regression problems, but mostly it is preferred for solving Classification problems. It is a tree-structured classifier, where internal nodes represent the features of a dataset, branches represent the decision rules and each leaf node represents the outcome."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 36,
+ "id": "31379c27",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<style>#sk-container-id-5 {color: black;}#sk-container-id-5 pre{padding: 0;}#sk-container-id-5 div.sk-toggleable {background-color: white;}#sk-container-id-5 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-5 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-5 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-5 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-5 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-5 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-5 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-5 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-5 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-5 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-5 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-5 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-5 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-5 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-5 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-5 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-5 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-5 div.sk-item {position: relative;z-index: 1;}#sk-container-id-5 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-5 div.sk-item::before, #sk-container-id-5 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-5 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-5 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-5 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-5 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-5 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-5 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-5 div.sk-label-container {text-align: center;}#sk-container-id-5 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-5 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-5\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>DecisionTreeClassifier(max_depth=30)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-7\" type=\"checkbox\" checked><label for=\"sk-estimator-id-7\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">DecisionTreeClassifier</label><div class=\"sk-toggleable__content\"><pre>DecisionTreeClassifier(max_depth=30)</pre></div></div></div></div></div>"
+ ],
+ "text/plain": [
+ "DecisionTreeClassifier(max_depth=30)"
+ ]
+ },
+ "execution_count": 36,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Decision Tree Classifier model \n",
+ "from sklearn.tree import DecisionTreeClassifier\n",
+ "\n",
+ "# instantiate the model \n",
+ "tree = DecisionTreeClassifier(max_depth=30)\n",
+ "\n",
+ "# fit the model \n",
+ "tree.fit(X_train, y_train)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 37,
+ "id": "6c19c3ec",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#predicting the target value from the model for the samples\n",
+ "\n",
+ "y_train_tree = tree.predict(X_train)\n",
+ "y_test_tree = tree.predict(X_test)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 38,
+ "id": "b577d598",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Decision Tree : Accuracy on training Data: 0.991\n",
+ "Decision Tree : Accuracy on test Data: 0.959\n",
+ "\n",
+ "Decision Tree : f1_score on training Data: 0.992\n",
+ "Decision Tree : f1_score on test Data: 0.963\n",
+ "\n",
+ "Decision Tree : Recall on training Data: 0.991\n",
+ "Decision Tree : Recall on test Data: 0.960\n",
+ "\n",
+ "Decision Tree : precision on training Data: 0.993\n",
+ "Decision Tree : precision on test Data: 0.966\n"
+ ]
+ }
+ ],
+ "source": [
+ "#computing the accuracy, f1_score, Recall, precision of the model performance\n",
+ "\n",
+ "acc_train_tree = metrics.accuracy_score(y_train,y_train_tree)\n",
+ "acc_test_tree = metrics.accuracy_score(y_test,y_test_tree)\n",
+ "print(\"Decision Tree : Accuracy on training Data: {:.3f}\".format(acc_train_tree))\n",
+ "print(\"Decision Tree : Accuracy on test Data: {:.3f}\".format(acc_test_tree))\n",
+ "print()\n",
+ "\n",
+ "f1_score_train_tree = metrics.f1_score(y_train,y_train_tree)\n",
+ "f1_score_test_tree = metrics.f1_score(y_test,y_test_tree)\n",
+ "print(\"Decision Tree : f1_score on training Data: {:.3f}\".format(f1_score_train_tree))\n",
+ "print(\"Decision Tree : f1_score on test Data: {:.3f}\".format(f1_score_test_tree))\n",
+ "print()\n",
+ "\n",
+ "recall_score_train_tree = metrics.recall_score(y_train,y_train_tree)\n",
+ "recall_score_test_tree = metrics.recall_score(y_test,y_test_tree)\n",
+ "print(\"Decision Tree : Recall on training Data: {:.3f}\".format(recall_score_train_tree))\n",
+ "print(\"Decision Tree : Recall on test Data: {:.3f}\".format(recall_score_test_tree))\n",
+ "print()\n",
+ "\n",
+ "precision_score_train_tree = metrics.precision_score(y_train,y_train_tree)\n",
+ "precision_score_test_tree = metrics.precision_score(y_test,y_test_tree)\n",
+ "print(\"Decision Tree : precision on training Data: {:.3f}\".format(precision_score_train_tree))\n",
+ "print(\"Decision Tree : precision on test Data: {:.3f}\".format(precision_score_test_tree))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 39,
+ "id": "87bcb8b6",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " precision recall f1-score support\n",
+ "\n",
+ " -1 0.95 0.96 0.95 976\n",
+ " 1 0.97 0.96 0.96 1235\n",
+ "\n",
+ " accuracy 0.96 2211\n",
+ " macro avg 0.96 0.96 0.96 2211\n",
+ "weighted avg 0.96 0.96 0.96 2211\n",
+ "\n"
+ ]
+ }
+ ],
+ "source": [
+ "#computing the classification report of the model\n",
+ "\n",
+ "print(metrics.classification_report(y_test, y_test_tree))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 40,
+ "id": "b0fdcdd9",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 640x480 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "training_accuracy = []\n",
+ "test_accuracy = []\n",
+ "# try max_depth from 1 to 30\n",
+ "depth = range(1,30)\n",
+ "for n in depth:\n",
+ " tree_test = DecisionTreeClassifier(max_depth=n)\n",
+ "\n",
+ " tree_test.fit(X_train, y_train)\n",
+ " # record training set accuracy\n",
+ " training_accuracy.append(tree_test.score(X_train, y_train))\n",
+ " # record generalization accuracy\n",
+ " test_accuracy.append(tree_test.score(X_test, y_test))\n",
+ " \n",
+ "\n",
+ "#plotting the training & testing accuracy for max_depth from 1 to 30\n",
+ "plt.plot(depth, training_accuracy, label=\"training accuracy\")\n",
+ "plt.plot(depth, test_accuracy, label=\"test accuracy\")\n",
+ "plt.ylabel(\"Accuracy\") \n",
+ "plt.xlabel(\"max_depth\")\n",
+ "plt.legend();"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 41,
+ "id": "0f3b12b8",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#storing the results. The below mentioned order of parameter passing is important.\n",
+ "\n",
+ "storeResults('Decision Tree',acc_test_tree,f1_score_test_tree,\n",
+ " recall_score_train_tree,precision_score_train_tree)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "02637ba8",
+ "metadata": {},
+ "source": [
+ "## 5.6. Random Forest : Classifier\n",
+ "\n",
+ "Random Forest is a popular machine learning algorithm that belongs to the supervised learning technique. It can be used for both Classification and Regression problems in ML. It is based on the concept of ensemble learning, which is a process of combining multiple classifiers to solve a complex problem and to improve the performance of the model."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 42,
+ "id": "49272c25",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
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+ ],
+ "text/plain": [
+ "RandomForestClassifier(n_estimators=10)"
+ ]
+ },
+ "execution_count": 42,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Random Forest Classifier Model\n",
+ "from sklearn.ensemble import RandomForestClassifier\n",
+ "\n",
+ "# instantiate the model\n",
+ "forest = RandomForestClassifier(n_estimators=10)\n",
+ "\n",
+ "# fit the model \n",
+ "forest.fit(X_train,y_train)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 43,
+ "id": "82c1f8b7",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#predicting the target value from the model for the samples\n",
+ "y_train_forest = forest.predict(X_train)\n",
+ "y_test_forest = forest.predict(X_test)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 44,
+ "id": "a41bd7f0",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Random Forest : Accuracy on training Data: 0.991\n",
+ "Random Forest : Accuracy on test Data: 0.968\n",
+ "\n",
+ "Random Forest : f1_score on training Data: 0.991\n",
+ "Random Forest : f1_score on test Data: 0.972\n",
+ "\n",
+ "Random Forest : Recall on training Data: 0.992\n",
+ "Random Forest : Recall on test Data: 0.974\n",
+ "\n",
+ "Random Forest : precision on training Data: 0.991\n",
+ "Random Forest : precision on test Data: 0.966\n"
+ ]
+ }
+ ],
+ "source": [
+ "#computing the accuracy, f1_score, Recall, precision of the model performance\n",
+ "\n",
+ "acc_train_forest = metrics.accuracy_score(y_train,y_train_forest)\n",
+ "acc_test_forest = metrics.accuracy_score(y_test,y_test_forest)\n",
+ "print(\"Random Forest : Accuracy on training Data: {:.3f}\".format(acc_train_forest))\n",
+ "print(\"Random Forest : Accuracy on test Data: {:.3f}\".format(acc_test_forest))\n",
+ "print()\n",
+ "\n",
+ "f1_score_train_forest = metrics.f1_score(y_train,y_train_forest)\n",
+ "f1_score_test_forest = metrics.f1_score(y_test,y_test_forest)\n",
+ "print(\"Random Forest : f1_score on training Data: {:.3f}\".format(f1_score_train_forest))\n",
+ "print(\"Random Forest : f1_score on test Data: {:.3f}\".format(f1_score_test_forest))\n",
+ "print()\n",
+ "\n",
+ "recall_score_train_forest = metrics.recall_score(y_train,y_train_forest)\n",
+ "recall_score_test_forest = metrics.recall_score(y_test,y_test_forest)\n",
+ "print(\"Random Forest : Recall on training Data: {:.3f}\".format(recall_score_train_forest))\n",
+ "print(\"Random Forest : Recall on test Data: {:.3f}\".format(recall_score_test_forest))\n",
+ "print()\n",
+ "\n",
+ "precision_score_train_forest = metrics.precision_score(y_train,y_train_forest)\n",
+ "precision_score_test_forest = metrics.precision_score(y_test,y_test_tree)\n",
+ "print(\"Random Forest : precision on training Data: {:.3f}\".format(precision_score_train_forest))\n",
+ "print(\"Random Forest : precision on test Data: {:.3f}\".format(precision_score_test_forest))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 45,
+ "id": "fb33464b",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " precision recall f1-score support\n",
+ "\n",
+ " -1 0.97 0.96 0.96 976\n",
+ " 1 0.97 0.97 0.97 1235\n",
+ "\n",
+ " accuracy 0.97 2211\n",
+ " macro avg 0.97 0.97 0.97 2211\n",
+ "weighted avg 0.97 0.97 0.97 2211\n",
+ "\n"
+ ]
+ }
+ ],
+ "source": [
+ "#computing the classification report of the model\n",
+ "\n",
+ "print(metrics.classification_report(y_test, y_test_forest))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 46,
+ "id": "4f10c481",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 640x480 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "training_accuracy = []\n",
+ "test_accuracy = []\n",
+ "# try max_depth from 1 to 20\n",
+ "depth = range(1,20)\n",
+ "for n in depth:\n",
+ " forest_test = RandomForestClassifier(n_estimators=n)\n",
+ "\n",
+ " forest_test.fit(X_train, y_train)\n",
+ " # record training set accuracy\n",
+ " training_accuracy.append(forest_test.score(X_train, y_train))\n",
+ " # record generalization accuracy\n",
+ " test_accuracy.append(forest_test.score(X_test, y_test))\n",
+ " \n",
+ "\n",
+ "#plotting the training & testing accuracy for n_estimators from 1 to 20\n",
+ "plt.figure(figsize=None)\n",
+ "plt.plot(depth, training_accuracy, label=\"training accuracy\")\n",
+ "plt.plot(depth, test_accuracy, label=\"test accuracy\")\n",
+ "plt.ylabel(\"Accuracy\") \n",
+ "plt.xlabel(\"n_estimators\")\n",
+ "plt.legend();"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 47,
+ "id": "310a4d15",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#storing the results. The below mentioned order of parameter passing is important.\n",
+ "\n",
+ "storeResults('Random Forest',acc_test_forest,f1_score_test_forest,\n",
+ " recall_score_train_forest,precision_score_train_forest)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "08ba9a1a",
+ "metadata": {},
+ "source": [
+ "## 5.7.Gradient Boosting Classifier\n",
+ "Gradient boosting classifiers are a group of machine learning algorithms that combine many weak learning models together to create a strong predictive model. Decision trees are usually used when doing gradient boosting. Boosting algorithms play a crucial role in dealing with bias variance trade-off. Unlike bagging algorithms, which only controls for high variance in a model, boosting controls both the aspects (bias & variance), and is considered to be more effective. "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 48,
+ "id": "46672600",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<style>#sk-container-id-7 {color: black;}#sk-container-id-7 pre{padding: 0;}#sk-container-id-7 div.sk-toggleable {background-color: white;}#sk-container-id-7 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-7 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-7 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-7 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-7 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-7 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-7 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-7 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-7 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-7 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-7 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-7 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-7 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-7 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-7 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-7 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-7 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-7 div.sk-item {position: relative;z-index: 1;}#sk-container-id-7 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-7 div.sk-item::before, #sk-container-id-7 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-7 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-7 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-7 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-7 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-7 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-7 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-7 div.sk-label-container {text-align: center;}#sk-container-id-7 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-7 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-7\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>GradientBoostingClassifier(learning_rate=0.7, max_depth=4)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-9\" type=\"checkbox\" checked><label for=\"sk-estimator-id-9\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">GradientBoostingClassifier</label><div class=\"sk-toggleable__content\"><pre>GradientBoostingClassifier(learning_rate=0.7, max_depth=4)</pre></div></div></div></div></div>"
+ ],
+ "text/plain": [
+ "GradientBoostingClassifier(learning_rate=0.7, max_depth=4)"
+ ]
+ },
+ "execution_count": 48,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Gradient Boosting Classifier Model\n",
+ "from sklearn.ensemble import GradientBoostingClassifier\n",
+ "\n",
+ "# instantiate the model\n",
+ "gbc = GradientBoostingClassifier(max_depth=4,learning_rate=0.7)\n",
+ "\n",
+ "# fit the model \n",
+ "gbc.fit(X_train,y_train)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 49,
+ "id": "1abd4a9e",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#predicting the target value from the model for the samples\n",
+ "y_train_gbc = gbc.predict(X_train)\n",
+ "y_test_gbc = gbc.predict(X_test)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 50,
+ "id": "4c8ea93d",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Gradient Boosting Classifier : Accuracy on training Data: 0.989\n",
+ "Gradient Boosting Classifier : Accuracy on test Data: 0.974\n",
+ "\n",
+ "Gradient Boosting Classifier : f1_score on training Data: 0.990\n",
+ "Gradient Boosting Classifier : f1_score on test Data: 0.977\n",
+ "\n",
+ "Gradient Boosting Classifier : Recall on training Data: 0.994\n",
+ "Gradient Boosting Classifier : Recall on test Data: 0.989\n",
+ "\n",
+ "Gradient Boosting Classifier : precision on training Data: 0.986\n",
+ "Gradient Boosting Classifier : precision on test Data: 0.966\n"
+ ]
+ }
+ ],
+ "source": [
+ "#computing the accuracy, f1_score, Recall, precision of the model performance\n",
+ "\n",
+ "acc_train_gbc = metrics.accuracy_score(y_train,y_train_gbc)\n",
+ "acc_test_gbc = metrics.accuracy_score(y_test,y_test_gbc)\n",
+ "print(\"Gradient Boosting Classifier : Accuracy on training Data: {:.3f}\".format(acc_train_gbc))\n",
+ "print(\"Gradient Boosting Classifier : Accuracy on test Data: {:.3f}\".format(acc_test_gbc))\n",
+ "print()\n",
+ "\n",
+ "f1_score_train_gbc = metrics.f1_score(y_train,y_train_gbc)\n",
+ "f1_score_test_gbc = metrics.f1_score(y_test,y_test_gbc)\n",
+ "print(\"Gradient Boosting Classifier : f1_score on training Data: {:.3f}\".format(f1_score_train_gbc))\n",
+ "print(\"Gradient Boosting Classifier : f1_score on test Data: {:.3f}\".format(f1_score_test_gbc))\n",
+ "print()\n",
+ "\n",
+ "recall_score_train_gbc = metrics.recall_score(y_train,y_train_gbc)\n",
+ "recall_score_test_gbc = metrics.recall_score(y_test,y_test_gbc)\n",
+ "print(\"Gradient Boosting Classifier : Recall on training Data: {:.3f}\".format(recall_score_train_gbc))\n",
+ "print(\"Gradient Boosting Classifier : Recall on test Data: {:.3f}\".format(recall_score_test_gbc))\n",
+ "print()\n",
+ "\n",
+ "precision_score_train_gbc = metrics.precision_score(y_train,y_train_gbc)\n",
+ "precision_score_test_gbc = metrics.precision_score(y_test,y_test_gbc)\n",
+ "print(\"Gradient Boosting Classifier : precision on training Data: {:.3f}\".format(precision_score_train_gbc))\n",
+ "print(\"Gradient Boosting Classifier : precision on test Data: {:.3f}\".format(precision_score_test_gbc))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 51,
+ "id": "1f7959d8",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " precision recall f1-score support\n",
+ "\n",
+ " -1 0.99 0.96 0.97 976\n",
+ " 1 0.97 0.99 0.98 1235\n",
+ "\n",
+ " accuracy 0.97 2211\n",
+ " macro avg 0.98 0.97 0.97 2211\n",
+ "weighted avg 0.97 0.97 0.97 2211\n",
+ "\n"
+ ]
+ }
+ ],
+ "source": [
+ "#computing the classification report of the model\n",
+ "\n",
+ "print(metrics.classification_report(y_test, y_test_gbc))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 52,
+ "id": "7e310444",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 640x480 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "training_accuracy = []\n",
+ "test_accuracy = []\n",
+ "# try learning_rate from 0.1 to 0.9\n",
+ "depth = range(1,10)\n",
+ "for n in depth:\n",
+ " forest_test = GradientBoostingClassifier(learning_rate = n*0.1)\n",
+ "\n",
+ " forest_test.fit(X_train, y_train)\n",
+ " # record training set accuracy\n",
+ " training_accuracy.append(forest_test.score(X_train, y_train))\n",
+ " # record generalization accuracy\n",
+ " test_accuracy.append(forest_test.score(X_test, y_test))\n",
+ " \n",
+ "\n",
+ "#plotting the training & testing accuracy for n_estimators from 1 to 50\n",
+ "plt.figure(figsize=None)\n",
+ "plt.plot(depth, training_accuracy, label=\"training accuracy\")\n",
+ "plt.plot(depth, test_accuracy, label=\"test accuracy\")\n",
+ "plt.ylabel(\"Accuracy\") \n",
+ "plt.xlabel(\"learning_rate\")\n",
+ "plt.legend();"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 53,
+ "id": "2c07912f",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 640x480 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "training_accuracy = []\n",
+ "test_accuracy = []\n",
+ "# try learning_rate from 0.1 to 0.9\n",
+ "depth = range(1,10,1)\n",
+ "for n in depth:\n",
+ " forest_test = GradientBoostingClassifier(max_depth=n,learning_rate = 0.7)\n",
+ "\n",
+ " forest_test.fit(X_train, y_train)\n",
+ " # record training set accuracy\n",
+ " training_accuracy.append(forest_test.score(X_train, y_train))\n",
+ " # record generalization accuracy\n",
+ " test_accuracy.append(forest_test.score(X_test, y_test))\n",
+ " \n",
+ "\n",
+ "#plotting the training & testing accuracy for n_estimators from 1 to 50\n",
+ "plt.figure(figsize=None)\n",
+ "plt.plot(depth, training_accuracy, label=\"training accuracy\")\n",
+ "plt.plot(depth, test_accuracy, label=\"test accuracy\")\n",
+ "plt.ylabel(\"Accuracy\") \n",
+ "plt.xlabel(\"max_depth\")\n",
+ "plt.legend();"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 54,
+ "id": "660fe8b1",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#storing the results. The below mentioned order of parameter passing is important.\n",
+ "\n",
+ "storeResults('Gradient Boosting Classifier',acc_test_gbc,f1_score_test_gbc,\n",
+ " recall_score_train_gbc,precision_score_train_gbc)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "c6820aa6",
+ "metadata": {},
+ "source": [
+ "## 5.8. CatBoost Classifier\n",
+ "\n",
+ "CatBoost is a recently open-sourced machine learning algorithm from Yandex. It can easily integrate with deep learning frameworks like Google’s TensorFlow and Apple’s Core ML. It can work with diverse data types to help solve a wide range of problems that businesses face today."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 56,
+ "id": "387e3c57",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
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+ ]
+ },
+ {
+ "data": {
+ "text/plain": [
+ "<catboost.core.CatBoostClassifier at 0x130e83b5a90>"
+ ]
+ },
+ "execution_count": 56,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# catboost Classifier Model\n",
+ "from catboost import CatBoostClassifier\n",
+ "\n",
+ "# instantiate the model\n",
+ "cat = CatBoostClassifier(learning_rate = 0.1)\n",
+ "\n",
+ "# fit the model \n",
+ "cat.fit(X_train,y_train)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 57,
+ "id": "2353cb47",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#predicting the target value from the model for the samples\n",
+ "y_train_cat = cat.predict(X_train)\n",
+ "y_test_cat = cat.predict(X_test)\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 58,
+ "id": "d6cc2cf5",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "CatBoost Classifier : Accuracy on training Data: 0.991\n",
+ "CatBoost Classifier : Accuracy on test Data: 0.972\n",
+ "\n",
+ "CatBoost Classifier : f1_score on training Data: 0.992\n",
+ "CatBoost Classifier : f1_score on test Data: 0.975\n",
+ "\n",
+ "CatBoost Classifier : Recall on training Data: 0.994\n",
+ "CatBoost Classifier : Recall on test Data: 0.982\n",
+ "\n",
+ "CatBoost Classifier : precision on training Data: 0.989\n",
+ "CatBoost Classifier : precision on test Data: 0.969\n"
+ ]
+ }
+ ],
+ "source": [
+ "#computing the accuracy, f1_score, Recall, precision of the model performance\n",
+ "\n",
+ "acc_train_cat = metrics.accuracy_score(y_train,y_train_cat)\n",
+ "acc_test_cat = metrics.accuracy_score(y_test,y_test_cat)\n",
+ "print(\"CatBoost Classifier : Accuracy on training Data: {:.3f}\".format(acc_train_cat))\n",
+ "print(\"CatBoost Classifier : Accuracy on test Data: {:.3f}\".format(acc_test_cat))\n",
+ "print()\n",
+ "\n",
+ "f1_score_train_cat = metrics.f1_score(y_train,y_train_cat)\n",
+ "f1_score_test_cat = metrics.f1_score(y_test,y_test_cat)\n",
+ "print(\"CatBoost Classifier : f1_score on training Data: {:.3f}\".format(f1_score_train_cat))\n",
+ "print(\"CatBoost Classifier : f1_score on test Data: {:.3f}\".format(f1_score_test_cat))\n",
+ "print()\n",
+ "\n",
+ "recall_score_train_cat = metrics.recall_score(y_train,y_train_cat)\n",
+ "recall_score_test_cat = metrics.recall_score(y_test,y_test_cat)\n",
+ "print(\"CatBoost Classifier : Recall on training Data: {:.3f}\".format(recall_score_train_cat))\n",
+ "print(\"CatBoost Classifier : Recall on test Data: {:.3f}\".format(recall_score_test_cat))\n",
+ "print()\n",
+ "\n",
+ "precision_score_train_cat = metrics.precision_score(y_train,y_train_cat)\n",
+ "precision_score_test_cat = metrics.precision_score(y_test,y_test_cat)\n",
+ "print(\"CatBoost Classifier : precision on training Data: {:.3f}\".format(precision_score_train_cat))\n",
+ "print(\"CatBoost Classifier : precision on test Data: {:.3f}\".format(precision_score_test_cat))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 59,
+ "id": "b88154b6",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " precision recall f1-score support\n",
+ "\n",
+ " -1 0.98 0.96 0.97 976\n",
+ " 1 0.97 0.98 0.98 1235\n",
+ "\n",
+ " accuracy 0.97 2211\n",
+ " macro avg 0.97 0.97 0.97 2211\n",
+ "weighted avg 0.97 0.97 0.97 2211\n",
+ "\n"
+ ]
+ }
+ ],
+ "source": [
+ "#computing the classification report of the model\n",
+ "\n",
+ "print(metrics.classification_report(y_test, y_test_cat))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 60,
+ "id": "e56e3618",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
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+ ]
+ }
+ ],
+ "source": [
+ "training_accuracy = []\n",
+ "test_accuracy = []\n",
+ "# try learning_rate from 0.1 to 0.9\n",
+ "depth = range(1,10)\n",
+ "for n in depth:\n",
+ " forest_test = CatBoostClassifier(learning_rate = n*0.1)\n",
+ "\n",
+ " forest_test.fit(X_train, y_train)\n",
+ " # record training set accuracy\n",
+ " training_accuracy.append(forest_test.score(X_train, y_train))\n",
+ " # record generalization accuracy\n",
+ " test_accuracy.append(forest_test.score(X_test, y_test))\n",
+ " "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 61,
+ "id": "53d13ba8",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 640x480 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "\n",
+ "#plotting the training & testing accuracy for n_estimators from 1 to 50\n",
+ "plt.figure(figsize=None)\n",
+ "plt.plot(depth, training_accuracy, label=\"training accuracy\")\n",
+ "plt.plot(depth, test_accuracy, label=\"test accuracy\")\n",
+ "plt.ylabel(\"Accuracy\") \n",
+ "plt.xlabel(\"learning_rate\")\n",
+ "plt.legend();"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 62,
+ "id": "080959b7",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#storing the results. The below mentioned order of parameter passing is important.\n",
+ "\n",
+ "storeResults('CatBoost Classifier',acc_test_cat,f1_score_test_cat,\n",
+ " recall_score_train_cat,precision_score_train_cat)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "c87f8a55",
+ "metadata": {},
+ "source": [
+ "## 5.10. Multi-layer Perceptron classifier\n",
+ "\n",
+ "MLPClassifier stands for Multi-layer Perceptron classifier which in the name itself connects to a Neural Network. Unlike other classification algorithms such as Support Vectors or Naive Bayes Classifier, MLPClassifier relies on an underlying Neural Network to perform the task of classification.\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 68,
+ "id": "5bfc3ea7",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<style>#sk-container-id-8 {color: black;}#sk-container-id-8 pre{padding: 0;}#sk-container-id-8 div.sk-toggleable {background-color: white;}#sk-container-id-8 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-8 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-8 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-8 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-8 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-8 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-8 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-8 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-8 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-8 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-8 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-8 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-8 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-8 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-8 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-8 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-8 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-8 div.sk-item {position: relative;z-index: 1;}#sk-container-id-8 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-8 div.sk-item::before, #sk-container-id-8 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-8 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-8 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-8 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-8 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-8 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-8 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-8 div.sk-label-container {text-align: center;}#sk-container-id-8 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-8 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-8\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>MLPClassifier()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-10\" type=\"checkbox\" checked><label for=\"sk-estimator-id-10\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">MLPClassifier</label><div class=\"sk-toggleable__content\"><pre>MLPClassifier()</pre></div></div></div></div></div>"
+ ],
+ "text/plain": [
+ "MLPClassifier()"
+ ]
+ },
+ "execution_count": 68,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Multi-layer Perceptron Classifier Model\n",
+ "from sklearn.neural_network import MLPClassifier\n",
+ "\n",
+ "# instantiate the model\n",
+ "mlp = MLPClassifier()\n",
+ "#mlp = GridSearchCV(mlpc, parameter_space)\n",
+ "\n",
+ "# fit the model \n",
+ "mlp.fit(X_train,y_train)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 69,
+ "id": "2cf7f1af",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#predicting the target value from the model for the samples\n",
+ "y_train_mlp = mlp.predict(X_train)\n",
+ "y_test_mlp = mlp.predict(X_test)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 70,
+ "id": "d68aa680",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Multi-layer Perceptron : Accuracy on training Data: 0.986\n",
+ "Multi-layer Perceptron : Accuracy on test Data: 0.968\n",
+ "\n",
+ "Multi-layer Perceptron : f1_score on training Data: 0.987\n",
+ "Multi-layer Perceptron : f1_score on test Data: 0.987\n",
+ "\n",
+ "Multi-layer Perceptron : Recall on training Data: 0.988\n",
+ "Multi-layer Perceptron : Recall on test Data: 0.976\n",
+ "\n",
+ "Multi-layer Perceptron : precision on training Data: 0.987\n",
+ "Multi-layer Perceptron : precision on test Data: 0.967\n"
+ ]
+ }
+ ],
+ "source": [
+ "#computing the accuracy, f1_score, Recall, precision of the model performance\n",
+ "\n",
+ "acc_train_mlp = metrics.accuracy_score(y_train,y_train_mlp)\n",
+ "acc_test_mlp = metrics.accuracy_score(y_test,y_test_mlp)\n",
+ "print(\"Multi-layer Perceptron : Accuracy on training Data: {:.3f}\".format(acc_train_mlp))\n",
+ "print(\"Multi-layer Perceptron : Accuracy on test Data: {:.3f}\".format(acc_test_mlp))\n",
+ "print()\n",
+ "\n",
+ "f1_score_train_mlp = metrics.f1_score(y_train,y_train_mlp)\n",
+ "f1_score_test_mlp = metrics.f1_score(y_test,y_test_mlp)\n",
+ "print(\"Multi-layer Perceptron : f1_score on training Data: {:.3f}\".format(f1_score_train_mlp))\n",
+ "print(\"Multi-layer Perceptron : f1_score on test Data: {:.3f}\".format(f1_score_train_mlp))\n",
+ "print()\n",
+ "\n",
+ "recall_score_train_mlp = metrics.recall_score(y_train,y_train_mlp)\n",
+ "recall_score_test_mlp = metrics.recall_score(y_test,y_test_mlp)\n",
+ "print(\"Multi-layer Perceptron : Recall on training Data: {:.3f}\".format(recall_score_train_mlp))\n",
+ "print(\"Multi-layer Perceptron : Recall on test Data: {:.3f}\".format(recall_score_test_mlp))\n",
+ "print()\n",
+ "\n",
+ "precision_score_train_mlp = metrics.precision_score(y_train,y_train_mlp)\n",
+ "precision_score_test_mlp = metrics.precision_score(y_test,y_test_mlp)\n",
+ "print(\"Multi-layer Perceptron : precision on training Data: {:.3f}\".format(precision_score_train_mlp))\n",
+ "print(\"Multi-layer Perceptron : precision on test Data: {:.3f}\".format(precision_score_test_mlp))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 71,
+ "id": "8983b248",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#storing the results. The below mentioned order of parameter passing is important.\n",
+ "\n",
+ "storeResults('Multi-layer Perceptron',acc_test_mlp,f1_score_test_mlp,\n",
+ " recall_score_train_mlp,precision_score_train_mlp)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "2cef57ca",
+ "metadata": {},
+ "source": [
+ "## 6. Comparision of Models\n",
+ "To compare the models performance, a dataframe is created. The columns of this dataframe are the lists created to store the results of the model."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 72,
+ "id": "bcddf7ae",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#creating dataframe\n",
+ "result = pd.DataFrame({ 'ML Model' : ML_Model,\n",
+ " 'Accuracy' : accuracy,\n",
+ " 'f1_score' : f1_score,\n",
+ " 'Recall' : recall,\n",
+ " 'Precision': precision,\n",
+ " })"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 73,
+ "id": "6851e518",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>ML Model</th>\n",
+ " <th>Accuracy</th>\n",
+ " <th>f1_score</th>\n",
+ " <th>Recall</th>\n",
+ " <th>Precision</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>Logistic Regression</td>\n",
+ " <td>0.934</td>\n",
+ " <td>0.941</td>\n",
+ " <td>0.943</td>\n",
+ " <td>0.927</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>Support Vector Machine</td>\n",
+ " <td>0.964</td>\n",
+ " <td>0.968</td>\n",
+ " <td>0.980</td>\n",
+ " <td>0.965</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>Naive Bayes Classifier</td>\n",
+ " <td>0.605</td>\n",
+ " <td>0.454</td>\n",
+ " <td>0.292</td>\n",
+ " <td>0.997</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>Decision Tree</td>\n",
+ " <td>0.959</td>\n",
+ " <td>0.963</td>\n",
+ " <td>0.991</td>\n",
+ " <td>0.993</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>Random Forest</td>\n",
+ " <td>0.968</td>\n",
+ " <td>0.972</td>\n",
+ " <td>0.992</td>\n",
+ " <td>0.991</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>5</th>\n",
+ " <td>Gradient Boosting Classifier</td>\n",
+ " <td>0.974</td>\n",
+ " <td>0.977</td>\n",
+ " <td>0.994</td>\n",
+ " <td>0.986</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>6</th>\n",
+ " <td>CatBoost Classifier</td>\n",
+ " <td>0.972</td>\n",
+ " <td>0.975</td>\n",
+ " <td>0.994</td>\n",
+ " <td>0.989</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>7</th>\n",
+ " <td>Multi-layer Perceptron</td>\n",
+ " <td>0.968</td>\n",
+ " <td>0.971</td>\n",
+ " <td>0.988</td>\n",
+ " <td>0.987</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " ML Model Accuracy f1_score Recall Precision\n",
+ "0 Logistic Regression 0.934 0.941 0.943 0.927\n",
+ "1 Support Vector Machine 0.964 0.968 0.980 0.965\n",
+ "2 Naive Bayes Classifier 0.605 0.454 0.292 0.997\n",
+ "3 Decision Tree 0.959 0.963 0.991 0.993\n",
+ "4 Random Forest 0.968 0.972 0.992 0.991\n",
+ "5 Gradient Boosting Classifier 0.974 0.977 0.994 0.986\n",
+ "6 CatBoost Classifier 0.972 0.975 0.994 0.989\n",
+ "7 Multi-layer Perceptron 0.968 0.971 0.988 0.987"
+ ]
+ },
+ "execution_count": 73,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# dispalying total result\n",
+ "result"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 74,
+ "id": "b5ec314b",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#Sorting the datafram on accuracy\n",
+ "sorted_result=result.sort_values(by=['Accuracy', 'f1_score'],ascending=False).reset_index(drop=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 75,
+ "id": "bf364ad6",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>ML Model</th>\n",
+ " <th>Accuracy</th>\n",
+ " <th>f1_score</th>\n",
+ " <th>Recall</th>\n",
+ " <th>Precision</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>Gradient Boosting Classifier</td>\n",
+ " <td>0.974</td>\n",
+ " <td>0.977</td>\n",
+ " <td>0.994</td>\n",
+ " <td>0.986</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>CatBoost Classifier</td>\n",
+ " <td>0.972</td>\n",
+ " <td>0.975</td>\n",
+ " <td>0.994</td>\n",
+ " <td>0.989</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>Random Forest</td>\n",
+ " <td>0.968</td>\n",
+ " <td>0.972</td>\n",
+ " <td>0.992</td>\n",
+ " <td>0.991</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>Multi-layer Perceptron</td>\n",
+ " <td>0.968</td>\n",
+ " <td>0.971</td>\n",
+ " <td>0.988</td>\n",
+ " <td>0.987</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>Support Vector Machine</td>\n",
+ " <td>0.964</td>\n",
+ " <td>0.968</td>\n",
+ " <td>0.980</td>\n",
+ " <td>0.965</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>5</th>\n",
+ " <td>Decision Tree</td>\n",
+ " <td>0.959</td>\n",
+ " <td>0.963</td>\n",
+ " <td>0.991</td>\n",
+ " <td>0.993</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>6</th>\n",
+ " <td>Logistic Regression</td>\n",
+ " <td>0.934</td>\n",
+ " <td>0.941</td>\n",
+ " <td>0.943</td>\n",
+ " <td>0.927</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>7</th>\n",
+ " <td>Naive Bayes Classifier</td>\n",
+ " <td>0.605</td>\n",
+ " <td>0.454</td>\n",
+ " <td>0.292</td>\n",
+ " <td>0.997</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " ML Model Accuracy f1_score Recall Precision\n",
+ "0 Gradient Boosting Classifier 0.974 0.977 0.994 0.986\n",
+ "1 CatBoost Classifier 0.972 0.975 0.994 0.989\n",
+ "2 Random Forest 0.968 0.972 0.992 0.991\n",
+ "3 Multi-layer Perceptron 0.968 0.971 0.988 0.987\n",
+ "4 Support Vector Machine 0.964 0.968 0.980 0.965\n",
+ "5 Decision Tree 0.959 0.963 0.991 0.993\n",
+ "6 Logistic Regression 0.934 0.941 0.943 0.927\n",
+ "7 Naive Bayes Classifier 0.605 0.454 0.292 0.997"
+ ]
+ },
+ "execution_count": 75,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# dispalying total result\n",
+ "sorted_result"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "26cd1618",
+ "metadata": {},
+ "source": [
+ "## Storing Best Model"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 76,
+ "id": "8280bba0",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<style>#sk-container-id-9 {color: black;}#sk-container-id-9 pre{padding: 0;}#sk-container-id-9 div.sk-toggleable {background-color: white;}#sk-container-id-9 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-9 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-9 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-9 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-9 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-9 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-9 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-9 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-9 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-9 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-9 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-9 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-9 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-9 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-9 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-9 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-9 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-9 div.sk-item {position: relative;z-index: 1;}#sk-container-id-9 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-9 div.sk-item::before, #sk-container-id-9 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-9 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-9 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-9 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-9 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-9 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-9 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-9 div.sk-label-container {text-align: center;}#sk-container-id-9 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-9 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-9\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>GradientBoostingClassifier(learning_rate=0.7, max_depth=4)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-11\" type=\"checkbox\" checked><label for=\"sk-estimator-id-11\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">GradientBoostingClassifier</label><div class=\"sk-toggleable__content\"><pre>GradientBoostingClassifier(learning_rate=0.7, max_depth=4)</pre></div></div></div></div></div>"
+ ],
+ "text/plain": [
+ "GradientBoostingClassifier(learning_rate=0.7, max_depth=4)"
+ ]
+ },
+ "execution_count": 76,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# XGBoost Classifier Model\n",
+ "from xgboost import XGBClassifier\n",
+ "\n",
+ "# instantiate the model\n",
+ "gbc = GradientBoostingClassifier(max_depth=4,learning_rate=0.7)\n",
+ "\n",
+ "# fit the model \n",
+ "gbc.fit(X_train,y_train)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 77,
+ "id": "74208873",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import pickle\n",
+ "\n",
+ "# dump information to that file\n",
+ "pickle.dump(gbc, open('pickle/model.pkl', 'wb'))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 78,
+ "id": "b594a036",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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46r8b27dvx9LSkjfeeEOvPHeq6KNTtAMCArC2ttb2y5QpQ+nSpfP9PX60n+rVq+f5PQkNDUUpxfbt2/XKW7dujaGhobbv5eUF8Nh+/g3y+/sH+X9Obty4oU3NzL0Hj06379ixI5aWltrPIvez/ehnv1OnTnmeo16/fj0BAQGULVtW7/Of+7d4x44dT3uZ4iUm0zKFEMVKtWrV8l1Q5cqVKwDUq1cv3/Me/lLYrVs3tm3bxvjx46lXrx42NjbodDpatWr1RF+in0Tu9KxH4330S93Dbty4gaWl5RP3ZWdnp7dvYmKChYUFZmZmecpTU1PznO/o6Jhv2ZEjRwC0qYGPXhM8WLk0JyeHmzdv6k1PzK9uQS5cuECTJk1wd3fnk08+wcXFBTMzM/bv38/AgQPz/Izs7e3ztGFqaqpX76+//tJLePJz5coVbt26hYmJSb7Hc5+tqlKlClu3bmX27NkMHDiQtLQ0KleuzJAhQxg6dGiRr7MwCxYsoHz58qxcuZJZs2ZhZmZGcHAwH330EVWrVi303KLcj+vXr+tNh8yVX1lBjIyM8vSV+9nJ/YxcuXIFpVSB7T46lbCwz0l+n+vCyu/fv/+4SyiynJwcXn31VS5dusT48ePx9PTE0tKSnJwcGjRo8NR/N65fv46jo2Oe585Kly6NkZFRnmm4RfnZFtRPfs+85a40/Lh+cqcj/l1/H5+np/mcWFlZcf36dYyMjHBwcNCrp9PpcHR01O5R7v8++ncyv9+HK1eu8PPPP2NsbJxvrA8/rylEUUlyJ4R4KeSOQPz444/av6bnJyUlhfXr1zNx4kTGjh2rlaenp3Pjxo0i92dmZpZnwQN48H/WD4+G5Hr0y1tunU8//bTAVS+f5Iv283T58uV8y3K/uOT+b3Jycp56ly5dwsDAgJIlS+qVP8miCWvXriUtLY3Vq1fr/Szj4uKK3MajHBwc+OOPPwqtU6pUKezt7dm4cWO+xx8eMWnSpAlNmjQhOzubAwcO8OmnnzJs2DDKlClDly5dCuzD1NQ038/No1+uLS0tmTx5MpMnT+bKlSvaKF7btm31FoB5Wvb29to/MDwsv599QbKysrh+/breF9rc83PLSpUqhU6nY+fOnfk+f/Vo2d/13r6i3veCHDt2jCNHjhAREUGvXr208tyFkZ6Wvb09+/btQymld+1Xr14lKysr378lT9tPQb+vwHPrpyCF/b38t7C3tycrK4u//vpLL8FTSnH58mXtHw5zP9uXL1+mXLlyWr3c34eHlSpVCi8vL6ZNm5Zvn3/Xa3xE8SbTMoUQL4Xg4GCMjIxITEykbt26+W7w4MujUirPl8qvv/6a7OxsvbLC/rXaxcWFo0eP6pWdOnWKhISEIsXbuHFjSpQowYkTJwqMt6ARpL/b8uXLUUpp++fPn2f37t3aKn/u7u6UK1eO77//Xq9eWloaP/30k7aC5uMUdH9zv+Q+/DNSSvHVV1899TW1bNmSU6dO5Zl+9rA2bdpw/fp1srOz8/155Pe+LkNDQ+rXr6+t/Hno0KFC48jvc7N9+/Y8q/Y9rEyZMoSGhtK1a1cSEhIeuyJnUfj5+bF9+3a9L9c5OTn88MMPT9TOsmXL9Pa///57AO2z0qZNG5RS/Pnnn/neU09Pz2e7kCIq6n1/ks8kwBdffJGnrycZ5WrevDl37tzJ86Lvb7/9Vjv+PDRv3pwTJ07k+Xx+++236HQ6AgICnks/BXFxceHq1at6/6CQkZHBpk2b/tZ+n0TuvX50UaGffvqJtLQ07XjuZ/vRz/6qVavyLPbVpk0bjh07RpUqVfL9/EtyJ56GjNwJIV4KLi4uTJkyhQ8++ICzZ8/SokULSpYsyZUrV9i/f782EmJjY0PTpk356KOPKFWqFC4uLuzYsYMlS5bkeeFwzZo1Afjyyy+xtrbGzMyMSpUqYW9vT48ePXjzzTcZMGAAHTp04Pz588yePTvPlJ6CWFlZ8emnn9KrVy9u3LjBG2+8QenSpfnrr784cuQIf/31F4sWLXret6lIrl69yuuvv07fvn1JSUlh4sSJmJmZERYWBjyY4jp79my6d+9OmzZt6N+/P+np6Xz00UfcunWLmTNnFqmf3C/2s2bNomXLlhgaGuLl5UVQUBAmJiZ07dqV0aNHc//+fRYtWsTNmzef+pqGDRvGypUrCQkJYezYsfj6+nLv3j127NhBmzZtCAgIoEuXLixbtoxWrVoxdOhQfH19MTY25o8//iAqKoqQkBBef/11Fi9ezPbt22ndujUVKlTg/v372gqehT3TB9CjRw/Gjx/PhAkT8PPz48SJE3z22Wd5ViCsX78+bdq0wcvLi5IlSxIfH8/SpUuLnDg/zgcffMDPP/9M8+bN+eCDDzA3N2fx4sXac54PT2MuiImJCXPnzuXOnTvUq1dPWy2zZcuW2mqpjRs3pl+/fvTu3ZsDBw7QtGlTLC0tSU5OZteuXXh6evLuu+8+8/U8TlHve0G/8x4eHlSpUoWxY8eilMLOzo6ff/6ZLVu25Okr93P9ySef0KtXL4yNjXF3d9cb+c3Vs2dPPv/8c3r16kVSUhKenp7s2rWL6dOn06pVq8d+norqvffe49tvv6V169ZMmTKFihUr8ssvv7Bw4ULeffdd3Nzcnks/BencuTMTJkygS5cujBo1ivv377NgwYI8/6D2IgUFBREcHMyYMWNITU2lcePG2mqZtWrVokePHsCDRwPefPNN5s+fj7GxMYGBgRw7dow5c+ZgY2Oj1+aUKVPYsmULjRo1YsiQIbi7u3P//n2SkpLYsGEDixcvLvbvqhR/gxe1kosQQjxPuatlxsbGFlpv7dq1KiAgQNnY2ChTU1NVsWJF9cYbb6itW7dqdf744w/VoUMHVbJkSWVtba1atGihjh07lu8KmPPnz1eVKlVShoaGeiu25eTkqNmzZ6vKlSsrMzMzVbduXbV9+/YCV8v84Ycf8o13x44dqnXr1srOzk4ZGxurcuXKqdatWxdYP1dhq2U+vAKiUg9WqrO0tMzThp+fn6pRo0aeWJcuXaqGDBmiHBwclKmpqWrSpIk6cOBAnvPXrl2r6tevr8zMzJSlpaVq3ry5iomJ0atTUExKKZWenq769OmjHBwclE6n01th8Oeff1be3t7KzMxMlStXTo0aNUr9+uuveVYyfPQaHr7mR1fnu3nzpho6dKiqUKGCMjY2VqVLl1atW7dWJ0+e1OpkZmaqOXPmaH1bWVkpDw8P1b9/f3X69Gml1IMVIF9//XVVsWJFZWpqquzt7ZWfn59at25dnjjyu+bRo0crZ2dnZW5urvz8/FRcXFyez97YsWNV3bp1VcmSJZWpqamqXLmyeu+999S1a9fy3NuHVaxYUbVu3TpPv49+LpVSaufOnap+/frK1NRUOTo6qlGjRmmrNN66davQ68j9TB09elT5+/src3NzZWdnp9599111586dPPW/+eYbVb9+fWVpaanMzc1VlSpVVM+ePfU+VwX9LAtagbGg3638/lYU9b4rVfDv/IkTJ1RQUJCytrZWJUuWVB07dlQXLlzId5XDsLAwVbZsWWVgYKD3mc3v53D9+nX1zjvvKCcnJ2VkZKQqVqyowsLC1P379/XqAWrgwIF57k9BK/c+6vz586pbt27K3t5eGRsbK3d3d/XRRx/prUBa0L3O7f9xqzkWdv6GDRuUj4+PMjc3V5UrV1afffbZ37JaZlE+D0rl/7fp3r17asyYMapixYrK2NhYOTk5qXfffVfdvHlT79z09HQ1YsQIVbp0aWVmZqYaNGig9uzZk+/P4q+//lJDhgxRlSpVUsbGxsrOzk7VqVNHffDBB3q/K0W5v0IopZROqYfmzAghhBAFiI6OJiAggB9++KHQhV5E8fXqq6+SlJSUZ0XSR4WGhvLjjz8WOp1UCCHE8yfTMoUQQgiRx/Dhw6lVqxbOzs7cuHGDZcuWsWXLFpYsWfKiQxNCCFEASe6EEEIIkUd2djYTJkzg8uXL6HQ6qlevztKlS3nzzTdfdGhCCCEKINMyhRBCCCGEEKIYkFchCCGEEEIIIUQxIMmdEEIIIYQQQhQDktwJIYQQQgghRDEgC6qIYiMnJ4dLly5hbW2NTqd70eEIIYQQQgjxzJRS3L59m7Jly2JgUPjYnCR3oti4dOkSzs7OLzoMIYQQQgghnruLFy9Svnz5QutIcieKDWtra+DBB9/GxuYFRyOEEEIIIcSzS01NxdnZWfuuWxhJ7kSxkTsV08bGRpI7IYQQQghRrBTlsSNZUEUIIYQQQgghigFJ7oQQQgghhBCiGJDkTgghhBBCCCGKAUnuhBBCCCGEEKIYkOROCCGEEEIIIYoBSe6EEEIIIYQQohiQ5E4IIYQQQgghigFJ7oQQQgghhBCiGJDkTgghhBBCCCGKAUnuhBBCCCGEEKIYkOROCCGEEEIIIYoBSe6EEEIIIYQQohiQ5E4IIYQQQgghigFJ7oQQQgghhBCiGJDkTgghhBBCCCGKAUnuhBBCCCGEEKIYkOROCCGEEEIIIYoBSe6EEEIIIYQQohiQ5E4IIYQQQgghigFJ7oQQQgghhBCiGJDkTgghhBBCCCGKAUnuhBBCCCGEEKIYkOROCCGEEEIIIYoBSe6EEEIIIYQQohiQ5O4fcvXqVfr370+FChUwNTXF0dGR4OBg9uzZA4BOp2Pt2rVP3K6Liwvz588vcv2kpCR0Op222dra0qBBA37++ecn7vvvMmnSJHx8fF50GEIIIYQQQvynGL3oAF4WHTp0IDMzk8jISCpXrsyVK1fYtm0bN27ceCHxbN26lRo1anDr1i0WLlxIhw4dOHToEDVr1nwh8QAopcjOzn5h/QshhBBCCPFfJiN3/4Bbt26xa9cuZs2aRUBAABUrVsTX15ewsDBat26Ni4sLAK+//jo6nU7bT0xMJCQkhDJlymBlZUW9evXYunWr1q6/vz/nz5/nvffe00biAM6fP0/btm0pWbIklpaW1KhRgw0bNujFZG9vj6OjIx4eHkybNo3MzEyioqK043/++SedO3emZMmS2NvbExISQlJSknY8NDSUdu3aMXnyZEqXLo2NjQ39+/cnIyNDq5Oens6QIUMoXbo0ZmZmvPLKK8TGxmrHo6Oj0el0bNq0ibp162JqasrSpUuZPHkyR44c0a4pIiLiOf0khBBCCCGEKL4kufsHWFlZYWVlxdq1a0lPT89zPDfhCQ8PJzk5Wdu/c+cOrVq1YuvWrRw+fJjg4GDatm3LhQsXAFi9ejXly5dnypQpJCcnk5ycDMDAgQNJT0/nt99+4/fff2fWrFlYWVnlG1tmZiZfffUVAMbGxgDcvXuXgIAArKys+O2339i1axdWVla0aNFCL3nbtm0b8fHxREVFsXz5ctasWcPkyZO146NHj+ann34iMjKSQ4cO4erqSnBwcJ7RytGjRzNjxgzi4+N59dVXGTFiBDVq1NCuqXPnzvnGnp6eTmpqqt4mhBBCCCHES0uJf8SPP/6oSpYsqczMzFSjRo1UWFiYOnLkiHYcUGvWrHlsO9WrV1effvqptl+xYkU1b948vTqenp5q0qRJ+Z5/7tw5BShzc3NlaWmpDAwMFKBcXFzU9evXlVJKLVmyRLm7u6ucnBztvPT0dGVubq42bdqklFKqV69eys7OTqWlpWl1Fi1apKysrFR2dra6c+eOMjY2VsuWLdOOZ2RkqLJly6rZs2crpZSKiopSgFq7dq1ejBMnTlTe3t6PvRcTJ05UQJ4tJSXlsecKIYQQQgjxX5CSklLk77gycvcP6dChA5cuXWLdunUEBwcTHR1N7dq1C51ymJaWxujRo6levTolSpTAysqKkydPaiN3BRkyZAgffvghjRs3ZuLEiRw9ejRPnZUrV3L48GHWrVuHq6srX3/9NXZ2dgAcPHiQM2fOYG1trY062tnZcf/+fRITE7U2vL29sbCw0PYbNmzInTt3uHjxIomJiWRmZtK4cWPtuLGxMb6+vsTHx+vFUrdu3UKvpyBhYWGkpKRo28WLF5+qHSGEEEIIIYoDWVDlH2RmZkZQUBBBQUFMmDCBPn36MHHiREJDQ/OtP2rUKDZt2sScOXNwdXXF3NycN954Q29qZH769OlDcHAwv/zyC5s3b2bGjBnMnTuXwYMHa3WcnZ2pWrUqVatWxcrKig4dOnDixAlKly5NTk4OderUYdmyZXnadnBweOx16nQ6lFLafz9MKZWnzNLS8rFt5sfU1BRTU9OnOlcIIYQQQojiRkbuXqDq1auTlpYGPBjVenSlyJ07dxIaGsrrr7+Op6cnjo6OeouaAJiYmOS7wqSzszPvvPMOq1evZsSIEdpzdfnx8/OjZs2aTJs2DYDatWtz+vRpSpcujaurq95ma2urnXfkyBHu3bun7e/duxcrKyvKly+Pq6srJiYm7Nq1SzuemZnJgQMHqFatWqH3paBrEkIIIYQQQhRMkrt/wPXr12nWrBnfffcdR48e5dy5c/zwww/Mnj2bkJAQ4MH76rZt28bly5e5efMmAK6urqxevZq4uDiOHDlCt27dyMnJ0WvbxcWF3377jT///JNr164BMGzYMDZt2sS5c+c4dOgQ27dvf2xCNWLECL744gv+/PNPunfvTqlSpQgJCWHnzp2cO3eOHTt2MHToUP744w/tnIyMDN5++21OnDjBr7/+ysSJExk0aBAGBgZYWlry7rvvMmrUKDZu3MiJEyfo27cvd+/e5e233y40FhcXF86dO0dcXBzXrl3LdxEaIYQQQgghhD5J7v4BVlZW1K9fn3nz5tG0aVNq1qzJ+PHj6du3L5999hkAc+fOZcuWLTg7O1OrVi0A5s2bR8mSJWnUqBFt27YlODiY2rVr67U9ZcoUkpKSqFKlijZlMjs7m4EDB1KtWjVatGiBu7s7CxcuLDTGNm3a4OLiwrRp07CwsOC3336jQoUKtG/fnmrVqvHWW29x7949bGxstHOaN29O1apVadq0KZ06daJt27ZMmjRJOz5z5kw6dOhAjx49qF27NmfOnGHTpk2ULFmy0Fg6dOhAixYtCAgIwMHBgeXLlxf5XgshhBBCCPGy0qnch6OEeAKhoaHcunWLtWvXvuhQNKmpqdja2pKSkqKXhAohhBBCCPFf9STfcWXkTgghhBBCCCGKAUnuhBBCCCGEEKIYkFchiKdS2Pv5hBBCCCGEEP88Se5EsVNz4iYMTC0KPJ40s/U/GI0QQgghhBD/jH/ttEydTvdEi3VERERQokSJvy2exwkNDaVdu3bP3M6kSZPw8fF55naEEEIIIYQQL5cXmtwVlhAlJyfTsmXLfywWnU6nbdbW1tStW5fVq1cX+fxPPvnkiacq5pfAjhw5km3btj1RO4WJjo7Wu7b8tsLiTkpK0qtbsmRJmjZtyo4dO55bjEIIIYQQQohn968duXN0dMTU1PQf7TM8PJzk5GRiY2Px9vamY8eO7Nmzp0jn2traPpeRQysrK+zt7Z+5nVyNGjUiOTlZ2zp16kSLFi30yjp37vzYdrZu3UpycjI7duzAxsaGVq1ace7cuecWpxBCCCGEEOLZ/GuTu4dHtXJHj1avXk1AQAAWFhZ4e3sXmnhdv34dX19fXnvtNe7fv8/Nmzfp3r07Dg4OmJubU7VqVcLDw/XOKVGiBI6Ojnh4eLB48WLMzMxYt24dAL///jvNmjXD3Nwce3t7+vXrx507d7RzHx2F9Pf3Z8iQIYwePRo7OzscHR31XvDt4uICwOuvv45Op9P2H52WmdvunDlzcHJywt7enoEDB5KZmanVSU5OpnXr1pibm1OpUiW+//57XFxcmD9/PiYmJjg6Omqbubk5pqam2n7JkiUZM2YMpUuXxszMjFdeeYXY2Ng899Pe3h5HR0e8vLz44osvuHv3Lps3b+b69et07dqV8uXLY2FhgaenZ56Xjt++fZvu3btjaWmJk5MT8+bNw9/fn2HDhml1MjIyGD16NOXKlcPS0pL69esTHR1d4M9XCCGEEEIIoe9fm9zl54MPPmDkyJHExcXh5uZG165dycrKylPvjz/+oEmTJnh4eLB69WrMzMwYP348J06c4NdffyU+Pp5FixZRqlSpAvsyNjbGyMiIzMxM7t69S4sWLShZsiSxsbH88MMPbN26lUGDBhUab2RkJJaWluzbt4/Zs2czZcoUtmzZAqAlUA+PFhYkKiqKxMREoqKiiIyMJCIiQm8qZc+ePbl06RLR0dH89NNPfPnll1y9erXQ2HKNHj2an376icjISA4dOoSrqyvBwcHcuHGjwHMsLB4sVpKZmcn9+/epU6cO69ev59ixY/Tr148ePXqwb98+rf7w4cOJiYlh3bp1bNmyhZ07d3Lo0CG9Nnv37k1MTAwrVqzg6NGjdOzYkRYtWnD69OkC40hPTyc1NVVvE0IIIYQQ4mX1n1otc+TIkbRu/WClw8mTJ1OjRg3OnDmDh4eHVufUqVMEBQUREhLCJ598gk6nA+DChQvUqlWLunXrAv83cpaf9PR0PvroI1JTU2nevDnLli3j3r17fPvtt1haWgLw2Wef0bZtW2bNmkWZMmXybcfLy4uJEycCULVqVT777DO2bdtGUFAQDg4OwP+NFhamZMmSfPbZZxgaGuLh4UHr1q3Ztm0bffv25eTJk2zdupXY2Fjt2r7++muqVq36uNtJWloaixYtIiIiQnu+8auvvmLLli0sWbKEUaNG5XtOWFgYhoaG+Pn5Ua5cOUaOHKkdHzx4MBs3buSHH36gfv363L59m8jISL7//nuaN28OPEhoy5Ytq52TmJjI8uXL+eOPP7TykSNHsnHjRsLDw5k+fXq+8c+YMYPJkyc/9jqFEEIIIYR4GfynkjsvLy/tv52cnAC4evWqltzdu3ePV155ha5du/LJJ5/onfvuu+/SoUMHDh06xKuvvkq7du1o1KiRXp2uXbtiaGjIvXv3sLW1Zc6cObRs2ZLhw4fj7e2tJXYAjRs3Jicnh4SEhEKTu4c5OTkVeUTtYTVq1MDQ0FCvnd9//x2AhIQEjIyMqF27tnbc1dWVkiVLPrbdxMREMjMzady4sVZmbGyMr68v8fHxenUbNWqEgYEBd+/excnJiYiICDw9PcnOzmbmzJmsXLmSP//8k/T0dNLT07V7dfbsWTIzM/H19dXasrW1xd3dXds/dOgQSinc3Nz0+kxPTy/0+cOwsDCGDx+u7aempuLs7PzY6xZCCCGEEKI4+k8ld8bGxtp/547I5eTkaGWmpqYEBgbyyy+/MGrUKMqXL68da9myJefPn+eXX35h69atNG/enIEDBzJnzhytzrx58wgMDMTGxobSpUtr5Uoprb9HFVT+aLy5dR+Ot6gKa0cple85BZXnV+fRa8jveleuXEn16tUpUaKEXsI1d+5c5s2bx/z58/H09MTS0pJhw4aRkZHx2D5y5eTkYGhoyMGDB/WSWHiwwExBTE1N//FFd4QQQgghhPi3+k89c/c4BgYGLF26lDp16tCsWTMuXbqkd9zBwYHQ0FC+++475s+fz5dffql33NHREVdXV73EDqB69erExcWRlpamlcXExGBgYJBntOlJGBsbk52d/dTnA3h4eJCVlcXhw4e1sjNnznDr1q3Hnuvq6oqJiQm7du3SyjIzMzlw4ADVqlXTq+vs7EyVKlXyjKTt3LmTkJAQ3nzzTby9valcubLec3JVqlTB2NiY/fv3a2Wpqal6dWrVqkV2djZXr17F1dVVb3vclFUhhBBCCCHEAy88uUtJSSEuLk5vu3DhwlO3Z2hoyLJly/D29qZZs2ZcvnwZgAkTJvC///2PM2fOcPz4cdavX58ngSlI9+7dMTMzo1evXhw7doyoqCgGDx5Mjx49CpySWRQuLi5s27aNy5cvc/Pmzadqw8PDg8DAQPr168f+/fs5fPgw/fr1w9zcvNBRRQBLS0veffddRo0axcaNGzlx4gR9+/bl7t27vP3220Xq39XVlS1btrB7927i4+Pp37+/ds8BrK2t6dWrF6NGjSIqKorjx4/z1ltvYWBgoMXn5uZG9+7d6dmzJ6tXr+bcuXPExsYya9YsNmzY8FT3RQghhBBCiJfNC0/uoqOjqVWrlt42YcKEZ2rTyMiI5cuXU6NGDZo1a8bVq1cxMTEhLCwMLy8vmjZtiqGhIStWrChSexYWFmzatIkbN25Qr1493njjDZo3b85nn332THHOnTuXLVu24OzsTK1atZ66nW+//ZYyZcrQtGlTXn/9dfr27Yu1tTVmZmaPPXfmzJl06NCBHj16ULt2bc6cOcOmTZuK9MwewPjx46lduzbBwcH4+/vj6OiY58X0H3/8MQ0bNqRNmzYEBgbSuHFjqlWrphdfeHg4PXv2ZMSIEbi7u/Paa6+xb98+eYZOCCGEEEKIItKpojycJf5T/vjjD5ydnbVnC/9t0tLSKFeuHHPnzi3yCGFRpKamYmtri/OwVRiYWhRYL2lm6+fWpxBCCCGEEH+n3O+4KSkp2NjYFFr3P7Wgisjf9u3buXPnDp6eniQnJzN69GhcXFxo2rTpiw4NgMOHD3Py5El8fX1JSUlhypQpAISEhPwt/R2bHPzYD74QQgghhBDFjSR3xUBmZibvv/8+Z8+exdramkaNGrFs2bI8q2y+SHPmzCEhIQETExPq1KnDzp07C32JvBBCCCGEEOLJyLRMUWw8yZC1EEIIIYQQ/wUyLVO81GpO3JTvM3fyrJ0QQgghhCjOXvhqmUIIIYQQQgghnp0kd8VcUlISOp2OuLi4f7xvnU7H2rVr//F+hRBCCCGEeBlJcvc3uXz5MkOHDsXV1RUzMzPKlCnDK6+8wuLFi7l79+6LDq9QoaGhed5VJ4QQQgghhPh3k2fu/gZnz56lcePGlChRgunTp+Pp6UlWVhanTp3im2++oWzZsrz22msvOkwhhBBCCCFEMSIjd3+DAQMGYGRkxIEDB+jUqRPVqlXD09OTDh068Msvv9C2bVsALly4QEhICFZWVtjY2NCpUyeuXLmi19aiRYuoUqUKJiYmuLu7s3TpUr3jJ0+e5JVXXsHMzIzq1auzdevWx06HPHHiBK1atcLKyooyZcrQo0cPrl27VmB9f39/hgwZwujRo7Gzs8PR0ZFJkybp1Tl9+jRNmzbV4tiyZUuedv788086d+5MyZIlsbe3JyQkhKSkJO06LCws+P7777X6q1evxszMjN9//73A2IQQQgghhBAPSHL3nF2/fp3NmzczcOBALC0t862j0+lQStGuXTtu3LjBjh072LJlC4mJiXTu3Fmrt2bNGoYOHcqIESM4duwY/fv3p3fv3kRFRQGQk5NDu3btsLCwYN++fXz55Zd88MEHhcaXnJyMn58fPj4+HDhwgI0bN3LlyhU6depU6HmRkZFYWlqyb98+Zs+ezZQpU7QELicnh/bt22NoaMjevXtZvHgxY8aM0Tv/7t27BAQEYGVlxW+//cauXbuwsrKiRYsWZGRk4OHhwZw5cxgwYADnz5/n0qVL9O3bl5kzZ+Lp6ZlvTOnp6aSmpuptQgghhBBCvKxkWuZzdubMGZRSuLu765WXKlWK+/fvAzBw4EACAwM5evQo586dw9nZGYClS5dSo0YNYmNjqVevHnPmzCE0NJQBAwYAMHz4cPbu3cucOXMICAhg8+bNJCYmEh0djaOjIwDTpk0jKCiowPgWLVpE7dq1mT59ulb2zTff4OzszKlTp3Bzc8v3PC8vLyZOnAhA1apV+eyzz9i2bRtBQUFs3bqV+Ph4kpKSKF++PADTp0+nZcuW2vkrVqzAwMCAr7/+Gp1OB0B4eDglSpQgOjqaV199lQEDBrBhwwZ69Oihvex86NChBV7LjBkzmDx5coHHhRBCCCGEeJnIyN3fJDeBybV//37i4uKoUaMG6enpxMfH4+zsrCV2ANWrV6dEiRLEx8cDEB8fT+PGjfXaady4sXY8ISEBZ2dnLbED8PX1LTSugwcPEhUVhZWVlbZ5eHgAkJiYWOB5Xl5eevtOTk5cvXpVi7NChQpaYgfQsGHDPP2eOXMGa2trrV87Ozvu37+v1+8333zD0aNHOXToEBEREXnu48PCwsJISUnRtosXLxZ67UIIIYQQQhRnMnL3nLm6uqLT6Th58qReeeXKlQEwNzcHQCmVb+LyaPmjdR4+XlAbhcnJyaFt27bMmjUrzzEnJ6cCzzM2Ntbb1+l05OTkaHE86tG4cnJyqFOnDsuWLctT18HBQfvvI0eOkJaWhoGBAZcvX6Zs2bIFxmRqaoqpqWmBx4UQQgghhHiZyMjdc2Zvb09QUBCfffYZaWlpBdarXr06Fy5c0BttOnHiBCkpKVSrVg2AatWqsWvXLr3zdu/erR338PDgwoULeouwxMbGFhpf7dq1OX78OC4uLri6uuptBT0j+Di513Lp0iWtbM+ePXn6PX36NKVLl87Tr62tLQA3btwgNDSUDz74gN69e9O9e3fu3bv3VDEJIYQQQgjxspHk7m+wcOFCsrKyqFu3LitXriQ+Pp6EhAS+++47Tp48iaGhIYGBgXh5edG9e3cOHTrE/v376dmzJ35+ftStWxeAUaNGERERweLFizl9+jQff/wxq1evZuTIkQAEBQVRpUoVevXqxdGjR4mJidEWVCloRG/gwIHcuHGDrl27sn//fs6ePcvmzZt56623yM7OfqrrDQwMxN3dnZ49e3LkyBF27tyZZ2GX7t27U6pUKUJCQti5cyfnzp1jx44dDB06lD/++AOAd955B2dnZ8aNG8fHH3+MUkq7ViGEEEIIIUThJLn7G1SpUoXDhw8TGBhIWFgY3t7e1K1bl08//ZSRI0cydepU7XUFJUuWpGnTpgQGBlK5cmVWrlyptdOuXTs++eQTPvroI2rUqMEXX3xBeHg4/v7+ABgaGrJ27Vru3LlDvXr16NOnD+PGjQPAzMws39jKli1LTEwM2dnZBAcHU7NmTYYOHYqtrS0GBk/3cTAwMGDNmjWkp6fj6+tLnz59mDZtml4dCwsLfvvtNypUqED79u2pVq0ab731Fvfu3cPGxoZvv/2WDRs2sHTpUoyMjLCwsGDZsmV8/fXXbNiw4aniEkIIIYQQ4mWiU/k9MCX+s2JiYnjllVc4c+YMVapUedHh/KNSU1OxtbUlJSUFGxubFx2OEEIIIYQQz+xJvuPKgir/cWvWrMHKyoqqVaty5swZhg4dSuPGjV+6xE4IIYQQQoiXnSR3/3G3b99m9OjRXLx4kVKlShEYGMjcuXNfdFhCCCGEEEKIf5hMyxTFhkzLFEIIIYQQxc2TfMeVBVWEEEIIIYQQohiQ5E78K+SuHiqEEEIIIYR4OpLc/UuFhoai0+nQ6XQYGxtTuXJlRo4cWeiL0Z83f39/LQYTExOqVKlCWFgY6enp/1gMQgghhBBCiKKRBVX+xVq0aEF4eDiZmZns3LmTPn36kJaWxqJFi/6xGPr27cuUKVPIyMggNjaW3r17AzBjxox/LAYhhBBCCCHE48nI3b+Yqakpjo6OODs7061bN7p3787atWv57rvvqFu3LtbW1jg6OtKtWzeuXr2qd+66deuoWrUq5ubmBAQEEBkZiU6n49atW1qd3bt307RpU8zNzXF2dmbIkCF5RgYtLCxwdHSkQoUKdOjQgaCgIDZv3qwdv379Ol27dqV8+fJYWFjg6enJ8uXL9drw9/dnyJAhjB49Gjs7OxwdHZk0aVKh1z5lyhTKlClDXFzcU907IYQQQgghXjaS3P2HmJubk5mZSUZGBlOnTuXIkSOsXbuWc+fOERoaqtVLSkrijTfeoF27dsTFxdG/f38++OADvbZ+//13goODad++PUePHmXlypXs2rWLQYMGFdj/kSNHiImJwdjYWCu7f/8+derUYf369Rw7dox+/frRo0cP9u3bp3duZGQklpaW7Nu3j9mzZzNlyhS2bNmSpw+lFEOHDmXJkiXs2rULHx+fAuNJT08nNTVVbxNCCCGEEOJlJa9C+JcKDQ3l1q1b2iIj+/fvp1WrVjRv3pyVK1fq1Y2NjcXX15fbt29jZWXF2LFj+eWXX/j999+1OuPGjWPatGncvHmTEiVK0LNnT8zNzfniiy+0Ort27cLPz4+0tDTMzMzw9/dn9+7dmJiYaEmlgYEBq1atokOHDgXG3rp1a6pVq8acOXOAByN32dnZ7Ny5U6vj6+tLs2bNmDlzJvBgQZUffviB//3vfxw4cIAtW7ZQvnz5Qu/RpEmTmDx5cp5yeRWCEEIIIYQoLp7kVQjyzN2/2Pr167GysiIrK4vMzExCQkL49NNPOXz4MJMmTSIuLo4bN26Qk5MDwIULF6hevToJCQnUq1dPry1fX1+9/YMHD3LmzBmWLVumlSmlyMnJ4dy5c1SrVg2A7t2788EHH5CamsqsWbOwsbHRS+yys7OZOXMmK1eu5M8//yQ9PZ309HQsLS31+vPy8tLbd3JyyjOV9L333sPU1JS9e/dSqlSpx96fsLAwhg8fru2npqbi7Oz82POEEEIIIYQojiS5+xcLCAhg0aJFGBsbU7ZsWYyNjUlLS+PVV1/l1Vdf5bvvvsPBwYELFy4QHBxMRkYG8CBJ0+l0em09OkCbk5ND//79GTJkSJ5+K1SooP23ra0trq6uAHz33XfUqFGDJUuW8PbbbwMwd+5c5s2bx/z58/H09MTS0pJhw4ZpseR6eConPBipy01KcwUFBbF8+XI2bdpE9+7dH3t/TE1NMTU1fWw9IYQQQgghXgaS3P2LWVpaaolVrpMnT3Lt2jVmzpypjVIdOHBAr46HhwcbNmzQK3u0Tu3atTl+/Hie9gtjbGzM+++/T1hYGF27dsXCwoKdO3cSEhLCm2++CTxIGk+fPq2N/D2J1157jbZt29KtWzcMDQ3p0qXLE7chhBBCCCHEy0oWVPmPqVChAiYmJnz66aecPXuWdevWMXXqVL06/fv35+TJk4wZM4ZTp06xatUqIiIiALQRvTFjxrBnzx4GDhxIXFwcp0+fZt26dQwePLjQ/rt164ZOp2PhwoUAuLq6smXLFnbv3k18fDz9+/fn8uXLT319r7/+OkuXLqV37978+OOPT92OEEIIIYQQLxtJ7v5jHBwciIiI4IcffqB69erMnDlTW7gkV6VKlfjxxx9ZvXo1Xl5eLFq0SFstM3cao5eXFzt27OD06dM0adKEWrVqMX78eJycnArt38TEhEGDBjF79mzu3LnD+PHjqV27NsHBwfj7++Po6Ei7du2e6RrfeOMNIiMj6dGjB6tXr36mtoQQQgghhHhZyGqZL4lp06axePFiLl68+KJD+ds8yUpCQgghhBBC/BfIapmChQsXUq9ePezt7YmJieGjjz4q9B12QgghhBBCiP82Se6KqdOnT/Phhx9y48YNKlSowIgRIwgLC3vRYQkhhBBCCCH+JjItUxQbMi1TCCGEEEIUNzItU7zUak7chIGpxYsOI4+kma1fdAhCCCGEEKIYk9UyhRBCCCGEEKIYkOTuBYmIiKBEiRIv7Py/25dffomzszMGBgbMnz8/37JJkybh4+PzQuMUQgghhBCiuJDkrggWL16MtbU1WVlZWtmdO3cwNjamSZMmenV37tyJTqfj1KlTf2tMnTt31uvjaRIlf39/dDpdgZuLi8tTxZaamsqgQYMYM2YMf/75J/369cu3bOTIkWzbtu2p+hBCCCGEEELok2fuiiAgIIA7d+5w4MABGjRoADxI4hwdHYmNjeXu3btYWDx4xis6OpqyZcvi5ub2t8Zkbm6Oubn5M7WxevVqMjIyALh48SK+vr5s3bqVGjVqAGBoaKhXPyMjAxMTk8e2e+HCBTIzM2ndurX2UvRjx47lKQOwsrJ6pmsQQgghhBBCPCAjd0Xg7u5O2bJliY6O1sqio6MJCQmhSpUq7N69W688ICCAjIwMRo8eTbly5bC0tKR+/fp65+dau3Ytbm5umJmZERQUpPeS8SNHjhAQEIC1tTU2NjbUqVOHAwcOAPrTMiMiIpg8eTJHjhzRRt0iIiIASElJoV+/fpQuXRobGxuaNWvGkSNHALCzs8PR0RFHR0ccHBwAsLe318rq1avHhx9+SGhoKLa2tvTt2xeAMWPG4ObmhoWFBZUrV2b8+PFkZmZqsXh6egJQuXJlLZZHy5KSkvIdbfzmm2+oUaMGpqamODk5ybv5hBBCCCGEKCJJ7orI39+fqKgobT8qKgp/f3/8/Py08oyMDPbs2UNAQAC9e/cmJiaGFStWcPToUTp27EiLFi04ffq01sbdu3eZNm0akZGRxMTEkJqaSpcuXbTj3bt3p3z58sTGxnLw4EHGjh2LsbFxntg6d+7MiBEjqFGjBsnJySQnJ9O5c2eUUrRu3ZrLly+zYcMGDh48SO3atWnevDk3btwo0nV/9NFH1KxZk4MHDzJ+/HgArK2tiYiI4MSJE3zyySd89dVXzJs3T4tl69atAOzfv5/k5GQ6duyYp8zZ2TlPX4sWLWLgwIH069eP33//nXXr1uHq6lpgbOnp6aSmpuptQgghhBBCvKxkWmYR+fv7895775GVlcW9e/c4fPgwTZs2JTs7mwULFgCwd+9e7t27h7+/P3379uWPP/6gbNmyAIwcOZKNGzcSHh7O9OnTAcjMzOSzzz6jfv36AERGRlKtWjX279+Pr68vFy5cYNSoUXh4eABQtWrVfGMzNzfHysoKIyMjHB0dtfLt27fz+++/c/XqVUxNTQGYM2cOa9eu5ccff6Rfv36Pve5mzZoxcuRIvbJx48Zp/+3i4sKIESNYuXIlo0ePxtzcHHt7ewAcHBy0ePIre9SHH37IiBEjGDp0qFZWr169AmObMWMGkydPfuw1CCGEEEII8TKQ5K6IAgICSEtLIzY2lps3b+Lm5kbp0qXx8/OjR48epKWlER0dTYUKFTh06BBKqTzP3aWnp2tJDoCRkRF169bV9j08PChRogTx8fH4+voyfPhw+vTpw9KlSwkMDKRjx45UqVKlyDEfPHiQO3fu6PUJcO/ePRITE4vUxsPx5frxxx+ZP38+Z86c4c6dO2RlZT3zS8OvXr3KpUuXaN68eZHPCQsLY/jw4dp+ampqviOCQgghhBBCvAwkuSsiV1dXypcvT1RUFDdv3sTPzw8AR0dHKlWqRExMDFFRUTRr1oycnBwMDQ05ePBgnkVJHl1ARKfT5ekrt2zSpEl069aNX375hV9//ZWJEyeyYsUKXn/99SLFnJOTg5OTU77P+hX1NQqWlpZ6+3v37qVLly5MnjyZ4OBgbG1tWbFiBXPnzi1SewV5msVhTE1NtRFJIYQQQgghXnaS3D2BgIAAoqOjuXnzJqNGjdLK/fz82LRpE3v37qV3797UqlWL7Oxsrl69mudVCQ/LysriwIED+Pr6ApCQkMCtW7e0aZgAbm5uuLm58d5779G1a1fCw8PzTe5MTEzIzs7WK6tduzaXL1/GyMjoqV9r8KiYmBgqVqzIBx98oJWdP3/+mdu1trbGxcWFbdu2ERAQ8MztCSGEEEII8bKRBVWeQEBAALt27SIuLk4buYMHyd1XX33F/fv3CQgIwM3Nje7du9OzZ09Wr17NuXPniI2NZdasWWzYsEE7z9jYmMGDB7Nv3z4OHTpE7969adCgAb6+vty7d49BgwYRHR3N+fPniYmJITY2lmrVquUbm4uLC+fOnSMuLo5r166Rnp5OYGAgDRs2pF27dmzatImkpCR2797NuHHjtFU3n5SrqysXLlxgxYoVJCYmsmDBAtasWfNUbT1q0qRJzJ07lwULFnD69GkOHTrEp59++lzaFkIIIYQQoriT5O4JBAQEcO/ePVxdXSlTpoxW7ufnx+3bt6lSpYr2zFd4eDg9e/ZkxIgRuLu789prr7Fv3z69Z8IsLCwYM2YM3bp1o2HDhpibm7NixQrgwTvmrl+/Ts+ePXFzc6NTp060bNmywAVEOnToQIsWLQgICMDBwYHly5ej0+nYsGEDTZs25a233sLNzY0uXbqQlJSkF/+TCAkJ4b333mPQoEH4+Piwe/dubRXNZ9WrVy/mz5/PwoULqVGjBm3atNFbXVQIIYQQQghRMJ1SSr3oIIR4HlJTU7G1tSUlJeWZF3gRQgghhBDi3+BJvuPKyJ0QQgghhBBCFAOS3AkhhBBCCCFEMSDJnSh2ak7chMvYX150GEIIIYQQQvyjJLkTQgghhBBCiGJAkjvxzEJDQ2nXrp227+/vz7Bhw15YPEIIIYQQQryMJLl7jNDQUHQ6HTqdDmNjY8qUKUNQUBDffPMNOTk5Wj0XFxd0Oh179+7VO3/YsGH4+/tr+2lpaYwZM4bKlStjZmaGg4MD/v7+rF+/Xqvj7++v9WliYkKVKlUICwsjPT39b7/e52H16tVMnTr1RYchhBBCCCHES0WSuyJo0aIFycnJJCUl8euvvxIQEMDQoUNp06YNWVlZWj0zMzPGjBlTaFvvvPMOa9eu5bPPPuPkyZNs3LiRDh06cP36db16ffv2JTk5mTNnzjB79mw+//xzJk2a9HdcXpFlZmYWqZ6dnR3W1tZ/czRCCCGEEEKIh0lyVwSmpqY4OjpSrlw5ateuzfvvv8///vc/fv31VyIiIrR6/fv3Z+/evWzYsKHAtn7++Wfef/99WrVqhYuLC3Xq1GHw4MH06tVLr56FhQWOjo5UqFCBDh06EBQUxObNm7XjSilmz55N5cqVMTc3x9vbmx9//FGvjePHj9O6dWtsbGywtramSZMmJCYmApCTk8OUKVMoX748pqam+Pj4sHHjRu3cpKQkdDodq1atwt/fHzMzM7777juys7MZPnw4JUqUwN7entGjR/PoqxIfnZbp4uLC9OnTeeutt7C2tqZChQp8+eWXeufs3r0bHx8fzMzMqFu3LmvXrkWn0xEXF1foz0YIIYQQQgjxgCR3T6lZs2Z4e3uzevVqrczFxYV33nmHsLAwvSmbD3N0dGTDhg3cvn27yH0dOXKEmJgYjI2NtbJx48YRHh7OokWLOH78OO+99x5vvvkmO3bsAODPP/+kadOmmJmZsX37dg4ePMhbb72ljTR+8sknzJ07lzlz5nD06FGCg4N57bXXOH36tF7fY8aMYciQIcTHxxMcHMzcuXP55ptvWLJkCbt27eLGjRusWbPmsdcwd+5c6taty+HDhxkwYADvvvsuJ0+eBOD27du0bdsWT09PDh06xNSpUx87AgqQnp5Oamqq3iaEEEIIIcTLSpK7Z+Dh4UFSUpJe2bhx4zh37hzLli3L95wvv/yS3bt3Y29vT7169XjvvfeIiYnJU2/hwoVYWVlpo2p//fUXo0aNAh48t/fxxx/zzTffEBwcTOXKlQkNDeXNN9/kiy++AODzzz/H1taWFStWULduXdzc3Ojduzfu7u4AzJkzhzFjxtClSxfc3d2ZNWsWPj4+zJ8/Xy+OYcOG0b59eypVqkTZsmWZP38+YWFhdOjQgWrVqrF48WJsbW0fe69atWrFgAEDcHV1ZcyYMZQqVYro6GgAli1bhk6n46uvvqJ69eq0bNlSu9bCzJgxA1tbW21zdnZ+7DlCCCGEEEIUV5LcPQOlFDqdTq/MwcGBkSNHMmHCBDIyMvKc07RpU86ePcu2bdvo0KEDx48fp0mTJnkWIOnevTtxcXHs2bOHTp068dZbb9GhQwcATpw4wf379wkKCsLKykrbvv32W23aZVxcHE2aNNEb7cuVmprKpUuXaNy4sV5548aNiY+P1yurW7eu9t8pKSkkJyfTsGFDrczIyEivTkG8vLy0/9bpdDg6OnL16lUAEhIS8PLywszMTKvj6+v72DbDwsJISUnRtosXLz72HCGEEEIIIYoroxcdwH9ZfHw8lSpVylM+fPhwPv/8cxYuXJjvecbGxjRp0oQmTZowduxYPvzwQ6ZMmcKYMWMwMTEBwNbWFldXVwC+++47atSowZIlS3j77be1KZ+//PIL5cqV02vb1NQUAHNz88fG/2himl+yamlp+dh2iuLRJFOn02nXkV+/jz7Hlx9TU1PteoUQQgghhHjZycjdU9q+fTu///67Npr2MCsrK8aPH8+0adOK9BxY9erVycrK4v79+/keNzY25v3332fcuHHcvXuX6tWrY2pqyoULF3B1ddXbcqcmenl5sXPnznxXuLSxsaFs2bLs2rVLr3z37t1Uq1atwDhtbW1xcnLSe91DVlYWBw8efOw1FsbDw4OjR4/qverhwIEDz9SmEEIIIYQQLxtJ7oogPT2dy5cv8+eff3Lo0CGmT59OSEgIbdq0oWfPnvme079/f2xtbVm+fLleub+/P1988QUHDx4kKSmJDRs28P777xMQEICNjU2BMXTr1g2dTsfChQuxtrZm5MiRvPfee0RGRpKYmMjhw4f5/PPPiYyMBGDQoEGkpqbSpUsXDhw4wOnTp1m6dCkJCQkAjBo1ilmzZrFy5UoSEhIYO3YscXFxDB06tNB7MXToUGbOnMmaNWs4efIkAwYM4NatW09wN/O/tpycHPr160d8fDybNm1izpw5QN7RRSGEEEIIIUT+ZFpmEWzcuBEnJyeMjIwoWbIk3t7eLFiwgF69emFgkH9+bGxszNSpU+nWrZteeXBwMJGRkbz//vvcvXuXsmXL0qZNGyZMmFBoDCYmJgwaNIjZs2fzzjvvMHXqVEqXLs2MGTM4e/YsJUqU0F7TAGBvb8/27dsZNWoUfn5+GBoa4uPjoz1nN2TIEFJTUxkxYgRXr16levXqrFu3jqpVqxYax4gRI0hOTiY0NBQDAwPeeustXn/9dVJSUop6O/OwsbHh559/5t1338XHxwdPT08mTJhAt27d9J7DE0IIIYQQQhRMp4rycJMQ/7Bly5bRu3dvUlJSivT8IDxYKMbW1hbnYaswMLUgaWbrvzlKIYQQQggh/l6533FTUlIKnekHMnIn/iW+/fZbKleuTLly5Thy5AhjxoyhU6dORU7sHnZscvBjP/hCCCGEEEIUN5LciX+Fy5cvM2HCBC5fvoyTkxMdO3Zk2rRpLzosIYQQQggh/jNkWqYoNp5kyFoIIYQQQoj/gif5jiurZYpip+bETS86BCGEEEIIIf5xktwJIYQQQgghRDEgyd1/3Nq1a3F1dcXQ0JBhw4a96HCKTKfTsXbt2hcdhhBCCCGEEMWGJHfPYPfu3RgaGtKiRYsXFkP//v154403uHjxIlOnTiU6OhqdTodOp8PAwABbW1tq1arF6NGjSU5OfmFxPio5OZmWLVu+6DCEEEIIIYQoNiS5ewbffPMNgwcPZteuXVy4cOEf7//OnTtcvXqV4OBgypYti7W1tXYsISGBS5cuERsby5gxY9i6dSs1a9bk999//8fjzI+joyOmpqYvOgwhhBBCCCGKDUnunlJaWhqrVq3i3XffpU2bNkREROgdX7duHVWrVsXc3JyAgAAiIyPR6XTcunVLq7N7926aNm2Kubk5zs7ODBkyhLS0NO34zZs36dmzJyVLlsTCwoKWLVty+vRpAKKjo7VkrlmzZuh0OqKjo7VzS5cujaOjI25ubnTp0oWYmBgcHBx49913tTo5OTlMmTKF8uXLY2pqio+PDxs3btSOJyUlodPpWLVqFU2aNMHc3Jx69epx6tQpYmNjqVu3LlZWVrRo0YK//vpLOy82NpagoCBKlSqFra0tfn5+HDp0SO/+PDwtM7ef1atXExAQgIWFBd7e3uzZs6fQn0F6ejqpqal6mxBCCCGEEC8rSe6e0sqVK3F3d8fd3Z0333yT8PBwct8qkZSUxBtvvEG7du2Ii4ujf//+fPDBB3rn//777wQHB9O+fXuOHj3KypUr2bVrF4MGDdLqhIaGcuDAAdatW8eePXtQStGqVSsyMzNp1KgRCQkJAPz0008kJyfTqFGjAuM1NzfnnXfeISYmhqtXrwLwySefMHfuXObMmcPRo0cJDg7mtdde0xLIXBMnTmTcuHEcOnQIIyMjunbtyujRo/nkk0/YuXMniYmJTJgwQat/+/ZtevXqxc6dO9m7dy9Vq1alVatW3L59u9B7+sEHHzBy5Eji4uJwc3Oja9euZGVlFVh/xowZ2Nraapuzs3Oh7QshhBBCCFGsKfFUGjVqpObPn6+UUiozM1OVKlVKbdmyRSml1JgxY1TNmjX16n/wwQcKUDdv3lRKKdWjRw/Vr18/vTo7d+5UBgYG6t69e+rUqVMKUDExMdrxa9euKXNzc7Vq1SqllFI3b95UgIqKitLqREVF6fXzsF9//VUBat++fUoppcqWLaumTZumV6devXpqwIABSimlzp07pwD19ddfa8eXL1+uALVt2zatbMaMGcrd3b3Ae5WVlaWsra3Vzz//rJUBas2aNQX2c/z4cQWo+Pj4Atu9f/++SklJ0baLFy8qQDkPW1XgOUIIIYQQQvyXpKSkKEClpKQ8tq6M3D2FhIQE9u/fT5cuXQAwMjKic+fOfPPNN9rxevXq6Z3j6+urt3/w4EEiIiKwsrLStuDgYHJycjh37hzx8fEYGRlRv3597Rx7e3vc3d2Jj49/qrjV/x9Z1Ol0pKamcunSJRo3bqxXp3Hjxnna9/Ly0v67TJkyAHh6euqV5Y4GAly9epV33nkHNzc3bVTtzp07j30u8eF+nJyctLYKYmpqio2Njd4mhBBCCCHEy8roRQfwX7RkyRKysrIoV66cVqaUwtjYmJs3b6KUQqfT6Z2Tm1jlysnJoX///gwZMiRP+xUqVODUqVP59p1f20WVm7S5uLhoZfnF+WiZsbFxnvqPluXk5Gj7oaGh/PXXX8yfP5+KFStiampKw4YNycjIKDS+/Pp5uF0hhBBCCCFEwSS5e0JZWVl8++23zJ07l1dffVXvWIcOHVi2bBkeHh5s2LBB79iBAwf09mvXrs3x48dxdXXNt5/q1auTlZXFvn37tGfprl+/zqlTp6hWrdoTx33v3j2+/PJLmjZtioODAwBly5Zl165dNG3aVKu3e/fuPKOMT2rnzp0sXLiQVq1aAXDx4kWuXbv2TG0KIYQQQgghCifJ3RNav349N2/e5O2338bW1lbv2BtvvMGSJUtYvXo1H3/8MWPGjOHtt98mLi5OW00zd0RqzJgxNGjQgIEDB9K3b18sLS2Jj49ny5YtfPrpp1StWpWQkBD69u3LF198gbW1NWPHjqVcuXKEhIQ8Ns6rV69y//59bt++zcGDB5k9ezbXrl1j9erVWp1Ro0YxceJEqlSpgo+PD+Hh4cTFxbFs2bJnukeurq4sXbqUunXrkpqayqhRozA3N3+mNoUQQgghhBCFk2funtCSJUsIDAzMk9jBg5G7uLg4bt68yY8//sjq1avx8vJi0aJF2mqZue928/LyYseOHZw+fZomTZpQq1Ytxo8frz1rBhAeHk6dOnVo06YNDRs2RCnFhg0b9KYvFsTd3Z2yZctSp04dZs6cSWBgIMeOHaN69epanSFDhjBixAhGjBiBp6cnGzdu1F7h8Cy++eYbbt68Sa1atejRowdDhgyhdOnSz9SmEEIIIYQQonA69ejDYOJvMW3aNBYvXszFixdfdCjFVmpqKra2tqSkpMjiKkIIIYQQolh4ku+4Mi3zb7Jw4ULq1auHvb09MTExfPTRR3rvsBNCCCGEEEKI50mSu7/J6dOn+fDDD7lx4wYVKlRgxIgRhIWFveiwhBBCCCGEEMWUTMsUxYZMyxRCCCGEEMXNk3zHlQVVhBBCCCGEEKIYKDbJnVKKfv36YWdnh06nIy4u7kWH9I/y9/dn2LBh2r6Liwvz589/IbG8yL6FEEIIIYR4Wf2nk7vQ0FDatWsHwMaNG4mIiGD9+vUkJydTs2bNFxtcPqKjo9HpdNpmb29Ps2bNiImJee59xcbG0q9fv+fe7sMiIiIoUaLEC+lbCCGEEEIIoe8/ndw9LDExEScnJxo1aoSjoyNGRnnXisnIyHgBkeWVkJBAcnIy0dHRODg40Lp1a65evfpc+3BwcMDCwqLA45mZmc+1vyfpWwghhBBCCPH8FYvkLjQ0lMGDB3PhwgV0Oh0uLi7Ag6mKgwYNYvjw4ZQqVYqgoCAAPv74Yzw9PbG0tMTZ2ZkBAwZw584drb3cEan169fj7u6OhYUFb7zxBmlpaURGRuLi4kLJkiUZPHgw2dnZ2nkZGRmMHj2acuXKYWlpSf369YmOjs4Tb+nSpXF0dMTT05Nx48aRkpLCvn37tOMnTpygVatWWFlZUaZMGXr06MG1a9e042lpafTs2RMrKyucnJyYO3dunj4enRqp0+lYvHgxISEhWFpa8uGHHwLw888/U6dOHczMzKhcuTKTJ08mKytLO+/WrVv069ePMmXKYGZmRs2aNVm/fj3R0dH07t2blJQUbSRy0qRJ+fZ94cIFQkJCsLKywsbGhk6dOnHlyhXt+KRJk/Dx8WHp0qW4uLhga2tLly5duH37diE/dSGEEEIIIcTDikVy98knnzBlyhTKly9PcnIysbGx2rHIyEiMjIyIiYnhiy++AMDAwIAFCxZw7NgxIiMj2b59O6NHj9Zr8+7duyxYsIAVK1awceNGoqOjad++PRs2bGDDhg0sXbqUL7/8kh9//FE7p3fv3sTExLBixQqOHj1Kx44dadGiBadPn8437rt37xIeHg6AsbExAMnJyfj5+eHj48OBAwfYuHEjV65coVOnTtp5o0aNIioqijVr1rB582aio6M5ePDgY+/TxIkTCQkJ4ffff+ett95i06ZNvPnmmwwZMoQTJ07wxRdfEBERwbRp0wDIycmhZcuW7N69m++++44TJ04wc+ZMDA0NadSoEfPnz8fGxobk5GSSk5MZOXJknj6VUrRr144bN26wY8cOtmzZQmJiIp07d9arl5iYyNq1a1m/fj3r169nx44dzJw5s9DrSU9PJzU1VW8TQgghhBDipaX+w3r16qVCQkKUUkrNmzdPVaxYUe+4n5+f8vHxeWw7q1atUvb29tp+eHi4AtSZM2e0sv79+ysLCwt1+/ZtrSw4OFj1799fKaXUmTNnlE6nU3/++ade282bN1dhYWFKKaWioqIUoCwtLZWlpaXS6XQKUHXq1FEZGRlKKaXGjx+vXn31Vb02Ll68qACVkJCgbt++rUxMTNSKFSu049evX1fm5uZq6NChWlnFihXVvHnztH1ADRs2TK/dJk2aqOnTp+uVLV26VDk5OSmllNq0aZMyMDBQCQkJ+d638PBwZWtrm6f84b43b96sDA0N1YULF7Tjx48fV4Dav3+/UkqpiRMnKgsLC5WamqrVGTVqlKpfv36+/eaaOHGiAvJsKSkphZ4nhBBCCCHEf0VKSkqRv+MW+5eY161bN09ZVFQU06dP58SJE6SmppKVlcX9+/dJS0vD0tISAAsLC6pUqaKdU6ZMGVxcXLCystIry31W7tChQyilcHNz0+srPT0de3t7vbKdO3diaWnJ4cOHGTNmDBEREdrI3cGDB4mKitLrJ1diYiL37t0jIyODhg0bauV2dna4u7s/8b04ePAgsbGx2kgdQHZ2Nvfv3+fu3bvExcVRvnz5PNf0JOLj43F2dsbZ2Vkrq169OiVKlCA+Pp569eoBD6ZyWltba3WcnJwe+xxiWFgYw4cP1/ZTU1P1+hFCCCGEEOJlUuyTu9xkLdf58+dp1aoV77zzDlOnTsXOzo5du3bx9ttv6y0ykpts5dLpdPmW5eTkAA+mMBoaGnLw4EEMDQ316j2aqFWqVIkSJUrg5ubG/fv3ef311zl27Bimpqbk5OTQtm1bZs2aledanJycCpziWRSP3oucnBwmT55M+/bt89Q1MzPD3Nz8qfvKpZRCp9M9trywe1sQU1NTTE1NnzlGIYQQQgghioNi8czdkzhw4ABZWVnMnTuXBg0a4ObmxqVLl5653Vq1apGdnc3Vq1dxdXXV2xwdHQs8r0ePHuTk5LBw4UIAateuzfHjx3FxccnTjqWlJa6urhgbG7N3716tjZs3b3Lq1Kknjrl27dokJCTk6cfV1RUDAwO8vLz4448/CmzbxMREb0GZ/FSvXp0LFy5w8eJFrezEiROkpKRQrVq1J45ZCCGEEEIIkb+XLrmrUqUKWVlZfPrpp5w9e5alS5eyePHiZ27Xzc2N7t2707NnT1avXs25c+eIjY1l1qxZbNiwocDzDAwMGDZsGDNnzuTu3bsMHDiQGzdu0LVrV/bv38/Zs2fZvHkzb731FtnZ2VhZWfH2228zatQotm3bxrFjxwgNDcXA4Ml/lBMmTODbb79l0qRJHD9+nPj4eFauXMm4ceMA8PPzo2nTpnTo0IEtW7Zw7tw5fv31VzZu3Ag8mEp5584dtm3bxrVr17h7926ePgIDA/Hy8qJ79+4cOnSI/fv307NnT/z8/PKdMiuEEEIIIYR4Oi9dcufj48PHH3/MrFmzqFmzJsuWLWPGjBnPpe3w8HB69uzJiBEjcHd357XXXmPfvn2PfQ7srbfeIjMzk88++4yyZcsSExNDdnY2wcHB1KxZk6FDh2Jra6slcB999BFNmzbltddeIzAwkFdeeYU6deo8cbzBwcGsX7+eLVu2UK9ePRo0aMDHH39MxYoVtTo//fQT9erVo2vXrlSvXp3Ro0dro3WNGjXinXfeoXPnzjg4ODB79uw8feh0OtauXUvJkiVp2rQpgYGBVK5cmZUrVz5xvEIIIYQQQoiC6ZRS6kUHIcTzkJqaiq2tLSkpKdjY2LzocIQQQgghhHhmT/Id96UbuRNCCCGEEEKI4kiSOyGEEEIIIYQoBiS5E0IIIYQQQohiQJI7UezUnLjpRYcghBBCCCHEP67YJHcRERGUKFHiRYfxn/O87pu/vz/Dhg175naEEEIIIYQQT+dfk9wVlBysXbsWnU732PM7d+78VC/yLkpcOp0OnU6Hqakpbm5uTJ8+/bEv7/6njR07Ns9LwePj49HpdPTo0UOvfOnSpRgbG3Pnzp2/7b4JIYQQQggh/ln/muTuWZmbm1O6dOm/pe2+ffuSnJxMQkICQ4YMYdy4ccyZM+dv6etpBQQEcPLkSS5fvqyVRUdH4+zsTFRUlF7d6OhofH19sbKy+lvvmxBCCCGEEOKf859K7o4cOUJAQADW1tbY2NhQp04dDhw4AOSdXjhp0iR8fHxYunQpLi4u2Nra0qVLF27fvq3VuX37Nt27d8fS0hInJyfmzZuX7wiihYUFjo6OuLi4MGjQIJo3b87atWsBuHnzJj179qRkyZJYWFjQsmVLTp8+rZ2bG9fatWtxc3PDzMyMoKAgLl68qNUJDQ2lXbt2en0OGzYMf39/bd/f359BgwYxaNAgSpQogb29PePGjSP3NYWvvPIKxsbGREdHa+dER0czcOBAbt++zZkzZ/TKAwICnvq+paWl0bNnT6ysrHBycmLu3Ll5flaF3RelFA4ODvz0009afR8fH70kc8+ePdroohBCCCGEEOLx/lPJXffu3SlfvjyxsbEcPHiQsWPHYmxsXGD9xMRE1q5dy/r161m/fj07duxg5syZ2vHhw4cTExPDunXr2LJlCzt37uTQoUOPjcPc3JzMzEzgQWJ24MAB1q1bx549e1BK0apVK+04wN27d5k2bRqRkZHExMSQmppKly5dnvj6IyMjMTIyYt++fSxYsIB58+bx9ddfA2BpaUm9evX0Rul27NhB8+bNady4sVZ+8eJFzp49qyV3+XncfRs1ahRRUVGsWbOGzZs3Ex0dzcGDB/XaKOy+6HQ6mjZtqiWiN2/e5MSJE2RmZnLixAngQQJap04drKysCowzPT2d1NRUvU0IIYQQQoiX1X8qubtw4QKBgYF4eHhQtWpVOnbsiLe3d4H1c3JyiIiIoGbNmjRp0oQePXqwbds24MGoXWRkJHPmzKF58+bUrFmT8PDwQp+ly8nJYePGjWzatInmzZtz+vRp1q1bx9dff02TJk3w9vZm2bJl/Pnnn9rIHkBmZiafffYZDRs2pE6dOkRGRrJ7927279//RNfv7OzMvHnzcHd3p3v37gwePJh58+Zpx/39/bWE6cSJE9y7d49atWrh5+enlUdFRWFqakqjRo2e6r7duXOHJUuWMGfOHIKCgvD09CQyMlLvvhXlvjwc62+//Ya3tzfNmjXTyqKjo/VGLvMzY8YMbG1ttc3Z2bnoN1MIIYQQQohi5j+V3A0fPpw+ffoQGBjIzJkzSUxMLLS+i4sL1tbW2r6TkxNXr14F4OzZs2RmZuLr66sdt7W1xd3dPU87CxcuxMrKCjMzM1577TXefPNNJk6cSHx8PEZGRtSvX1+ra29vj7u7O/Hx8VqZkZERdevW1fY9PDwoUaKEXp2iaNCggd7iMg0bNuT06dNaYhUQEMCpU6e4dOkS0dHRvPLKKxgaGuold9HR0TRo0ABzc/MC+ynsviUmJpKRkUHDhg2143Z2dnr3rSj3xd/fn+PHj3Pt2jV27NiBv78//v7+7Nixg6ysLHbv3o2fn1+h9yMsLIyUlBRte3iqqxBCCCGEEC+bf01yZ2NjQ0pKSp7yW7duYWNjAzx4Huz48eO0bt2a7du3U716ddasWVNgm49O2dTpdOTk5ABoz6o9uhJnbvnDunfvTlxcHImJidy7d48lS5ZgYWGRb93cNh5tN78VP3PLDAwM8rT18LTOomrcuDEmJiZER0cTFRWlJUd169YlJSWFU6dOERUVVeiUTCjafStMUe5LzZo1sbe3Z8eOHVpy5+fnx44dO4iNjeXevXu88sorhfZjamqKjY2N3iaEEEIIIcTL6l+T3Hl4eGiLozwsNjZWb1TIzc2N9957j82bN9O+fXvCw8Ofqr8qVapgbGysNzUyNTVVbzGUXLa2tri6uuLs7IyhoaFWXr16dbKysti3b59Wdv36dU6dOqX3WoKsrCy9a0tISODWrVt4eHgA4ODgQHJysl6fcXFxeeLYu3dvnv2qVatqMZmbm1O/fn2io6P57bfftGmNRkZGNGrUiG+//ZakpKTHJneFcXV1xdjYWC+Wmzdv6r1OoSj3Jfe5u//9738cO3aMJk2a4OnpSWZmJosXL6Z27dp6o4dCCCGEEEKIwv1rkrsBAwaQmJjIwIEDOXLkCKdOneLzzz9nyZIljBo1inv37jFo0CCio6M5f/48MTExxMbG5nm3W1FZW1vTq1cvbXGQ48eP89Zbb2FgYFCk9+oBVK1alZCQEPr27cuuXbs4cuQIb775JuXKlSMkJESrZ2xszODBg9m3bx+HDh2id+/eNGjQQJsS2qxZMw4cOMC3337L6dOnmThxIseOHcvT38WLFxk+fDgJCQksX76cTz/9lKFDh+rVCQgIYMWKFdy7d4/atWtr5X5+fixYsEBLAJ+WlZUVb7/9NqNGjWLbtm0cO3aM0NBQDAz+76NU1Pvi7+/P999/j5eXFzY2NlrCt2zZssc+byeEEEIIIYTQ969J7lxcXNi5cyeJiYm8+uqr1KtXj4iICCIiIujYsSOGhoZcv36dnj174ubmRqdOnWjZsiWTJ09+6j4//vhjGjZsSJs2bQgMDKRx48ZUq1YNMzOzIrcRHh5OnTp1aNOmDQ0bNkQpxYYNG/SmNlpYWDBmzBi6detGw4YNMTc3Z8WKFdrx4OBgxo8fz+jRo6lXrx63b9+mZ8+eefrq2bMn9+7dw9fXl4EDBzJ48GD69eunVycgIIDbt2/TuHFjjIyMtHI/Pz9u375No0aNMDU1fZLblMdHH31E06ZNee211wgMDOSVV16hTp06T3xfAgICyM7O1kvk/Pz8yM7OfuzzdkIIIYQQQgh9OlWUh6heEmlpaZQrV465c+fy9ttvP5c2IyIiGDZsGLdu3Xqmdvz9/fHx8WH+/PnPJa7iKDU19cGqmcNWcWFexxcdjhBCCCGEEM8s9ztuSkrKY9eYMCr0aDF3+PBhTp48ia+vLykpKUyZMgVAb+qg+O85Njn4RYcghBBCCCHEP+6lTu4A5syZQ0JCAiYmJtSpU4edO3dSqlSpFx2WEEIIIYQQQjwRmZYpio0nGbIWQgghhBDiv+BJvuP+axZUEUIIIYQQQgjx9CS5E0IIIYQQQohi4KVL7nQ6HWvXrn0ubUVERFCiRIlC60yaNAkfH5/n0t+T9v2o0NBQ2rVr99xjKah9f39/hg0bVqRzo6Oj0el0z7yqqBBCCCGEEC+rYpPchYaGotPp0Ol0GBsbU6ZMGYKCgvjmm2/IycnR6iUnJ9OyZcsXGOnj5V6HTqfDysoKb29vIiIi9Op07tyZU6dOPfe+XVxc8n3dglKKL7/8kvr162NlZUWJEiWoW7cu8+fP5+7du/m2tXr1aqZOnfrcYxRCCCGEEELkVWySO4AWLVqQnJxMUlISv/76KwEBAQwdOpQ2bdqQlZUFgKOj4zO/xPufEB4eTnJyMkeOHKFz58707t2bTZs2acfNzc0pXbr0PxZPjx49GDZsGCEhIURFRREXF8f48eP53//+x+bNm/M9x87ODmtr638sRiGEEEIIIV5mxSq5MzU1xdHRkXLlylG7dm3ef/99/ve///Hrr79qI18PT8vMyMhg0KBBODk5YWZmhouLCzNmzNDa+/jjj/H09MTS0hJnZ2cGDBjAnTt38vS7du1a3NzcMDMzIygoiIsXLxYaZ3h4ONWqVcPMzAwPDw8WLlyYp06JEiVwdHSkSpUqvP/++9jZ2eklUflNy/zwww8pXbo01tbW9OnTh7Fjx+Y7JXTOnDk4OTlhb2/PwIEDyczMBB5Mozx//jzvvfeeNnIIsGrVKpYtW8by5ct5//33qVevHi4uLoSEhLB9+3YCAgLyvc5Hp2Wmp6czevRonJ2dMTU1pWrVqixZsiTfc+/du0fr1q1p0KABN27cKOx2CiGEEEIIIShmyV1+mjVrhre3N6tXr85zbMGCBaxbt45Vq1aRkJDAd999h4uLi3bcwMCABQsWcOzYMSIjI9m+fTujR4/Wa+Pu3btMmzaNyMhIYmJiSE1NpUuXLgXG89VXX/HBBx8wbdo04uPjmT59OuPHjycyMjLf+tnZ2axatYobN25gbGxcYLvLli1j2rRpzJo1i4MHD1KhQgUWLVqUp15UVBSJiYlERUURGRlJRESElviuXr2a8uXLM2XKFJKTk0lOTtbadnd3z/fl7jqdDltb2wLjeljPnj1ZsWIFCxYsID4+nsWLF2NlZZWnXkpKCq+++ioZGRls27YNOzu7fNtLT08nNTVVbxNCCCGEEOJl9VK8xNzDw4OjR4/mKb9w4QJVq1bllVdeQafTUbFiRb3jD486VapUialTp/Luu+/qjbRlZmby2WefUb9+fQAiIyOpVq0a+/fvx9fXN0+fU6dOZe7cubRv315r98SJE3zxxRf06tVLq9e1a1cMDQ25f/8+2dnZ2NnZ0adPnwKv8dNPP+Xtt9+md+/eAEyYMIHNmzfnGWksWbIkn332GYaGhnh4eNC6dWu2bdtG3759sbOzw9DQEGtraxwdHbVzTp8+jbu7e4F9F8WpU6dYtWoVW7ZsITAwEIDKlSvnqXflyhU6d+5MlSpVWL58OSYmJgW2OWPGDCZPnvxMcQkhhBBCCFFcFPuRO3iwGEjuFMOHhYaGEhcXh7u7O0OGDMnz7FhUVBRBQUGUK1cOa2trevbsyfXr10lLS9PqGBkZUbduXW3fw8ODEiVKEB8fn6e/v/76i4sXL/L2229jZWWlbR9++CGJiYl6defNm0dcXBxbtmzBx8eHefPm4erqWuA1JiQk5Ekm80sua9SogaGhobbv5OTE1atXC2wXCr5/TyIuLg5DQ0P8/PwKrRcYGEjlypVZtWpVoYkdQFhYGCkpKdr2uOmwQgghhBBCFGcvxchdfHw8lSpVylNeu3Ztzp07x6+//srWrVvp1KkTgYGB/Pjjj5w/f55WrVrxzjvvMHXqVOzs7Ni1axdvv/229oxarvwSn/zKclft/Oqrr7SRvlwPJ1zwYOEXV1dXXF1d+eGHH6hVqxZ169alevXqBV7no30qpfLUeXRqp06n01tNND9ubm75JqtPwtzcvEj1WrduzU8//cSJEyfw9PQstK6pqel/YnEcIYQQQggh/gnFfuRu+/bt/P7773To0CHf4zY2NnTu3JmvvvqKlStX8tNPP3Hjxg0OHDhAVlYWc+fOpUGDBri5uXHp0qU852dlZXHgwAFtPyEhgVu3buHh4ZGnbpkyZShXrhxnz57VErfcLb/kM5erqysdOnQgLCyswDru7u7s379fr+zhuIrKxMSE7OxsvbJu3bpx6tQp/ve//+Wpr5QiJSXlse16enqSk5PDjh07Cq03c+ZMevXqRfPmzTlx4sSTBS+EEEIIIcRLrFiN3KWnp3P58mWys7O5cuUKGzduZMaMGbRp04aePXvmqT9v3jycnJzw8fHBwMCAH374AUdHR0qUKEGVKlXIysri008/pW3btsTExLB48eI8bRgbGzN48GAWLFiAsbExgwYNokGDBvlOiYQHLzUfMmQINjY2tGzZkvT0dA4cOMDNmzcZPnx4gdc2YsQIvL29OXDggN400FyDBw+mb9++1K1bl0aNGrFy5UqOHj2a73NthXFxceG3336jS5cumJqaUqpUKTp16sSaNWvo2rUr48ePJygoCAcHB37//XfmzZvH4MGDH/tydBcXF3r16sVbb73FggUL8Pb25vz581y9epVOnTrp1Z0zZw7Z2dk0a9aM6OjofBNlIYQQQgghhL5iNXK3ceNGnJyccHFxoUWLFkRFRbFgwQL+97//5Zn2CGBlZcWsWbOoW7cu9erVIykpiQ0bNmBgYICPjw8ff/wxs2bNombNmixbtkzvNQm5LCwsGDNmDN26daNhw4aYm5uzYsWKAmPs06cPX3/9NREREXh6euLn50dEREShI3fwYOQrMDCQCRMm5Hu8e/fuhIWFMXLkSG26aWhoKGZmZo+5a/qmTJlCUlISVapUwcHBAXgwdfP777/n448/Zs2aNfj5+eHl5cWkSZMICQkhODi4SG0vWrSIN954gwEDBuDh4UHfvn31nl982Lx58+jUqRPNmjX7W17WLoQQQgghRHGjU/k9mCWKhaCgIBwdHVm6dOmLDuUfkZqaiq2tLSkpKdjY2LzocIQQQgghhHhmT/Idt1hNy3yZ3b17l8WLFxMcHIyhoSHLly9n69atbNmy5UWHJoQQQgghhPgHSHJXTOh0OjZs2MCHH35Ieno67u7u/PTTT9o75YQQQgghhBDFmyR3xYS5uTlbt2590WEIIYQQQgghXpBitaCKEEIIIYQQQrysJLkTQgghhBBCiGJAkrvHuHr1Kv3796dChQqYmpri6OhIcHAwe/bsAR4867Z27donbtfFxYX58+c/11gjIiLQ6XTaZmVlRZ06dVi9evVz6yMjI4PZs2fj7e2NhYUFpUqVonHjxoSHh5OZmflc+vg77o0QQgghhBDFnTxz9xgdOnQgMzOTyMhIKleuzJUrV9i2bRs3btx40aHly8bGhoSEBABu375NeHg4nTp14vjx47i7uz9Vm0opsrOzycnJITg4mCNHjjB16lQaN26MjY0Ne/fuZc6cOdSqVQsfH5/neDVCCCGEEEKIIlOiQDdv3lSAio6Ozvd4xYoVFaBtFStWVEopdebMGfXaa6+p0qVLK0tLS1W3bl21ZcsW7Tw/Pz+983J/DBMnTlTe3t56fcybN09rVymloqKiVL169ZSFhYWytbVVjRo1UklJSUoppcLDw5Wtra3e+dnZ2crY2FitWrVKK1u6dKmqU6eOsrKyUmXKlFFdu3ZVV65c0esDUBs3blR16tRRxsbGavv27WrWrFnKwMBAHTp0KM+9yMjIUHfu3NHuy7x58/SOe3t7q4kTJ2r7EydOVM7OzsrExEQ5OTmpwYMHF3pviiIlJUUBKiUlpcjnCCGEEEII8W/2JN9xZVpmIaysrLCysmLt2rWkp6fnOR4bGwtAeHg4ycnJ2v6dO3do1aoVW7du5fDhwwQHB9O2bVsuXLgAwOrVqylfvjxTpkwhOTmZ5OTkIsWTlZVFu3bt8PPz4+jRo+zZs4d+/fqh0+nyrZ+dnU1kZCQAtWvX1sozMjKYOnUqR44cYe3atZw7d47Q0NA8548ePZoZM2YQHx+Pl5cXy5YtIzAwkFq1auWpa2xsjKWlZZGu48cff2TevHl88cUXnD59mrVr1+Lp6Qk82b1JT08nNTVVbxNCCCGEEOJlJdMyC2FkZERERAR9+/Zl8eLF1K5dGz8/P7p06YKXlxcODg4AlChRAkdHR+08b29vvL29tf0PP/yQNWvWsG7dOgYNGoSdnR2GhoZYW1vrnfc4qamppKSk0KZNG6pUqQJAtWrV9OqkpKRgZWUFwL179zA2NubLL7/U6gO89dZb2n9XrlyZBQsW4Ovry507d7RzAaZMmUJQUJC2f/r0afz9/Yscb0EuXLiAo6MjgYGBGBsbU6FCBXx9fQGe6N7MmDGDyZMnP3M8QgghhBBCFAcycvcYHTp04NKlS6xbt47g4GCio6OpXbs2ERERBZ6TlpbG6NGjqV69OiVKlMDKyoqTJ09qI3dPy87OjtDQUG0k8JNPPskzsmVtbU1cXBxxcXEcPnyY6dOn079/f37++WetzuHDhwkJCaFixYpYW1trCduj8dWtW1dvXylV4Cjhk+jYsSP37t2jcuXK9O3blzVr1pCVlfXE7YSFhZGSkqJtFy9efObYhBBCCCGE+K+S5K4IzMzMCAoKYsKECezevZvQ0FAmTpxYYP1Ro0bx008/MW3aNHbu3ElcXByenp5kZGQU2o+BgQFKKb2yR1egDA8PZ8+ePTRq1IiVK1fi5ubG3r179dpwdXXF1dUVLy8vhg8fTkBAALNmzQIeJJ6vvvoqVlZWfPfdd8TGxrJmzRqAPPE9Os3Szc2N+Pj4Qq+hKNfh7OxMQkICn3/+Oebm5gwYMICmTZs+8Wqbpqam2NjY6G1CCCGEEEK8rCS5ewrVq1cnLS0NePCsWXZ2tt7xnTt3Ehoayuuvv46npyeOjo4kJSXp1TExMclznoODA5cvX9ZLjOLi4vL0X6tWLcLCwti9ezc1a9bk+++/LzReQ0ND7t27B8DJkye5du0aM2fOpEmTJnh4eHD16tUiXXe3bt205wgflZWVpd0TBwcHvRHF1NRUzp07p1ff3Nyc1157jQULFhAdHc2ePXv4/fffgfzvjRBCCCGEEKJwktwV4vr16zRr1ozvvvuOo0ePcu7cOX744Qdmz55NSEgI8OCdbNu2bePy5cvcvHkTAFdXV1avXk1cXBxHjhyhW7du5OTk6LXt4uLCb7/9xp9//sm1a9cA8Pf356+//mL27NkkJiby+eef8+uvv2rnnDt3jrCwMPbs2cP58+fZvHkzp06d0nvuTinF5cuXuXz5MufOnePLL79k06ZNWrwVKlTAxMSETz/9lLNnz7Ju3TqmTp1apPsxbNgwGjduTPPmzfn88885cuQIZ8+eZdWqVdSvX5/Tp08D0KxZM5YuXcrOnTs5duwYvXr1wtDQUGsnIiKCJUuWcOzYMc6ePcvSpUsxNzenYsWKBd4bIYQQQgghxGP8vQt3/rfdv39fjR07VtWuXVvZ2toqCwsL5e7ursaNG6fu3r2rlFJq3bp1ytXVVRkZGWmvLDh37pwKCAhQ5ubmytnZWX322WfKz89PDR06VGt7z549ysvLS5mamuot979o0SLl7OysLC0tVc+ePdW0adO0di9fvqzatWunnJyclImJiapYsaKaMGGCys7OVko9eBUCD71CwNTUVLm5ualp06aprKwsrY/vv/9eubi4KFNTU9WwYUO1bt06BajDhw8rpf7vVQg3b97M957MmDFDeXp6KjMzM2VnZ6caN26sIiIiVGZmplLqwXKtnTp1UjY2NsrZ2VlFRETovQphzZo1qn79+srGxkZZWlqqBg0aqK1btz723jyOvApBCCGEEEIUN0/yHVen1CMPRwnxH5WamoqtrS0pKSny/J0QQgghhCgWnuQ7rkzLFEIIIYQQQohiQJI7IYQQQgghhCgGJLkTQgghhBBCiGJAkjshhBBCCCGEKAYkuRNCCCGEEEKIYuClSu4iIiIoUaLECzu/uIqOjkan03Hr1i1A7pMQQgghhBAvwr82uVu8eDHW1tZkZWVpZXfu3MHY2JgmTZro1d25cyc6nY5Tp079rTF17txZr49Jkybh4+PzxO1ERESg0+nybF9//fVzjPbFefQ+CSGEEEIIIf5+Ri86gIIEBARw584dDhw4QIMGDYAHSZyjoyOxsbHcvXsXCwsL4MHIUdmyZXFzc/tbYzI3N8fc3Py5tGVjY0NCQoJema2t7VO1lZmZibGx8fMIq1AZGRmYmJg8tt7zvE9CCCGEEEKIovnXjty5u7tTtmxZoqOjtbLo6GhCQkKoUqUKu3fv1isPCAggIyOD0aNHU65cOSwtLalfv77e+bnWrl2Lm5sbZmZmBAUFcfHiRe3YkSNHCAgIwNraGhsbG+rUqcOBAwcA/emGERERTJ48mSNHjmgjbxEREQCkpKTQr18/SpcujY2NDc2aNePIkSN6Meh0OhwdHfW23ITowoULhISEYGVlhY2NDZ06deLKlSvaubkjht988w2VK1fG1NSUn3/+mRIlSpCTkwNAXFwcOp2OUaNGaef179+frl27AnD9+nW6du1K+fLlsbCwwNPTk+XLl+vF6O/vz6BBgxg+fDilSpUiKCgIgA0bNuDm5oa5uTkBAQEkJSXpnffotMzceJcuXYqLiwu2trZ06dKF27dva3Vu375N9+7dsbS0xMnJiXnz5uHv78+wYcPy/PyEEEIIIYQQef1rkzt4kFxERUVp+1FRUfj7++Pn56eVZ2RksGfPHgICAujduzcxMTGsWLGCo0eP0rFjR1q0aMHp06e1Nu7evcu0adOIjIwkJiaG1NRUunTpoh3v3r075cuXJzY2loMHDzJ27Nh8R8U6d+7MiBEjqFGjBsnJySQnJ9O5c2eUUrRu3ZrLly+zYcMGDh48SO3atWnevDk3btx47DUrpWjXrh03btxgx44dbNmyhcTERDp37qxX78yZM6xatYqffvqJuLg4mjZtyu3btzl8+DAAO3bsoFSpUuzYsUM7Jzo6Gj8/PwDu379PnTp1WL9+PceOHaNfv3706NGDffv26fUTGRmJkZERMTExfPHFF1y8eJH27dvTqlUr4uLi6NOnD2PHjn3sdSUmJrJ27VrWr1/P+vXr2bFjBzNnztSODx8+nJiYGNatW8eWLVvYuXMnhw4dKrTN9PR0UlNT9TYhhBBCCCFeWupf7Msvv1SWlpYqMzNTpaamKiMjI3XlyhW1YsUK1ahRI6WUUjt27FCAOnPmjNLpdOrPP//Ua6N58+YqLCxMKaVUeHi4AtTevXu14/Hx8QpQ+/btU0opZW1trSIiIvKNJzw8XNna2mr7EydOVN7e3np1tm3bpmxsbNT9+/f1yqtUqaK++OILvTgsLS21rUyZMkoppTZv3qwMDQ3VhQsXtHOPHz+uALV//36tX2NjY3X16lW9PmrXrq3mzJmjlFKqXbt2atq0acrExESlpqaq5ORkBaj4+PgC7rZSrVq1UiNGjND2/fz8lI+Pj16dsLAwVa1aNZWTk6OVjRkzRgHq5s2bBd4nCwsLlZqaqpWNGjVK1a9fXymlVGpqqjI2NlY//PCDdvzWrVvKwsJCDR06tMB4J06cqIA8W0pKSoHnCCGEEEII8V+SkpJS5O+4/+qRu4CAANLS0oiNjWXnzp24ublRunRp/Pz8iI2NJS0tjejoaCpUqMChQ4dQSuHm5oaVlZW27dixg8TERK1NIyMj6tatq+17eHhQokQJ4uPjgQcjSH369CEwMJCZM2fqnVsUBw8e5M6dO9jb2+vFce7cOb22rK2tiYuL07bcaabx8fE4Ozvj7Oys1a1evbpejAAVK1bEwcFBr29/f3+io6NRSrFz505CQkKoWbMmu3btIioqijJlyuDh4QFAdnY206ZNw8vLS4t18+bNXLhwQa/Nh+9VbnwNGjRAp9NpZQ0bNnzsfXFxccHa2lrbd3Jy4urVqwCcPXuWzMxMfH19teO2tra4u7sX2mZYWBgpKSna9vD0WiGEEEIIIV42/9oFVQBcXV0pX748UVFR3Lx5U5tS6OjoSKVKlYiJiSEqKopmzZqRk5ODoaEhBw8exNDQUK8dKysrvf2HE5NHyyZNmkS3bt345Zdf+PXXX5k4cSIrVqzg9ddfL1LMOTk5ODk55fus38PPoRkYGODq6pqnjlIq3/geLbe0tMxTx9/fnyVLlnDkyBEMDAyoXr06fn5+7NixQ+/+AcydO5d58+Yxf/58PD09sbS0ZNiwYWRkZOi1+Wg/SqkCr70wj05t1el02vOBuW0+et2P68vU1BRTU9OnikcIIYQQQoji5l89cgcPRu+io6OJjo7G399fK/fz82PTpk3s3buXgIAAatWqRXZ2NlevXsXV1VVvc3R01M7LysrSFkgBSEhI4NatW9qIFoCbmxvvvfcemzdvpn379oSHh+cbm4mJCdnZ2XpltWvX5vLlyxgZGeWJo1SpUo+93urVq3PhwgW9UagTJ06QkpJCtWrVCj0397m7+fPn4+fnh06nw8/PT7t/Dyd3uSN7b775Jt7e3lSuXFnv2cTC4tu7d69e2aP7T6pKlSoYGxuzf/9+rSw1NbVI8QghhBBCCCEe+E8kd7t27SIuLk4vOfHz8+Orr77i/v37BAQE4ObmRvfu3enZsyerV6/m3LlzxMbGMmvWLDZs2KCdZ2xszODBg9m3bx+HDh2id+/eNGjQAF9fX+7du8egQYOIjo7m/PnzxMTEEBsbW2BS5eLiwrlz54iLi+PatWukp6cTGBhIw4YNadeuHZs2bSIpKYndu3czbtw4vaSyIIGBgXh5edG9e3cOHTrE/v376dmzJ35+fnmmSD7K1tYWHx8fvvvuOy0Rbtq0KYcOHeLUqVN6ybGrqytbtmxh9+7dxMf/P/buO6qKq20b+DW0QzlwsIAHFUVEQJCmqEGMHbFFSIwVC2KJGnsNNsCGErElMbECUVM0GmKLJUaMil1Ro4iKIvoEJbGcY0XKfH/4Mp8nIFIlHK7fWrNeZs+ee9+zZeXlfvaURHzyySe4e/fuW/MbMWIEkpOTMXHiRCQlJeG7776T3hJaXKamphg0aBCmTJmCgwcP4tKlSwgKCoKOjk6+q5hERERERJRXhSjunj9/Djs7O9SoUUNqb926NR4/foz69etLz6dFRUVh4MCBmDRpEhwcHNC9e3ecOHFC4/k1Y2NjTJs2Df369YOXlxeMjIzwww8/AAB0dXVx//59DBw4EPb29ujVqxc6d+6MsLCwfHPr0aMHOnXqhLZt28LCwgLff/89BEHA7t270apVKwQFBcHe3h59+vRBSkqKRv5vIggCYmNjUaVKFbRq1QodOnSAra0tfvzxx0LPV3Z2tlTIValSBU5OTrCwsNAoUmfNmoXGjRvD19cXbdq0gVKphL+//1vj16lTB1u3bsWOHTvg5uaGb775BgsWLChUbgVZsmQJvLy80K1bN3To0AHe3t5o2LAhDA0NSxybiIiIiKgyEMTiPkRFVIaePn2KWrVqITIyEkOGDCnUOWq1GgqFAiqVCmZmZmWcIRERERFR2SvK37j/6ReqUOVx7tw5XLlyBc2aNYNKpcKcOXMAAH5+fuWcGRERERFRxcDijv4zFi9ejKSkJBgYGKBJkyY4fPhwoV5CQ0RERERELO7oP8LDwwNnzpwp7zSIiIiIiCqs//wLVYiIiIiIiOjtWNyVsri4OAiCgEePHpV3KqUqNDQU7u7u5Z0GERERERG9AYu7YoqPj4euri46depU3qmUi8DAwHw/nZCQkABBEJCSkgLg/xe7uVu1atXQrl07HD16VOM8Fo9ERERERCXD4q6Y1q9fjzFjxuDIkSNITU0t73QAAJmZmeWdwhslJSUhLS0NcXFxsLCwQNeuXZGenl7eaRERERERaQ0Wd8Xw9OlTbN68GSNHjkS3bt0QHR2dp8/Ro0fh5uYGQ0NDNG/eHBcvXpSORUdHw9zcHHv37kXDhg0hl8vRqVMnpKWlSX1ycnIwZ84c1K5dGzKZDO7u7tizZ490PCUlBYIgYPPmzWjTpg0MDQ2xceNGaUVtwYIFqFGjBszNzREWFoasrCxMmTIFVatWRe3atbF+/XqNfKdNmwZ7e3sYGxvD1tYWs2bNKtVi0dLSEkqlEi4uLpg5cyZUKhVOnDhRavGJiIiIiCo7FnfF8OOPP8LBwQEODg7o378/oqKi8O9vwU+ZMgWLFy/GqVOnYGlpie7du2sUS8+ePcPixYuxYcMG/PHHH0hNTcXkyZOl48uXL0dkZCQWL16MCxcuwNfXF927d8e1a9c0xpk2bRrGjh2LxMRE+Pr6AgB+//13/PXXX/jjjz+wZMkShIaGolu3bqhSpQpOnDiBESNGYMSIEbh9+7YUx9TUFNHR0bh8+TKWL1+ONWvWYOnSpaU+d8+ePUNUVBQAQF9fv0SxMjIyoFarNTYiIiIiosqKxV0xrFu3Dv379wcAdOrUCU+ePMGBAwc0+oSEhMDHxwcuLi6IiYnBvXv38PPPP0vHMzMz8c0338DT0xONGzfG6NGjNWIsXrwY06ZNQ58+feDg4IBFixbB3d0dy5Yt0xhn/Pjx+Oijj1CvXj3UrFkTAFC1alWsWLECDg4OCAoKgoODA549e4bp06ejQYMGCA4OhoGBgcZzbzNnzkSLFi1gY2ODDz74AJMmTcLmzZtLbc5q164NuVwOuVyOpUuXokmTJmjfvn2JYoaHh0OhUEibtbV1KWVLRERERFTxsLgroqSkJJw8eRJ9+vQBAOjp6aF37955bnP08vKSfq5atSocHByQmJgotRkbG6N+/frSvpWVlfQMmlqtxl9//QVvb2+NmN7e3hoxAMDT0zNPjs7OztDR+f//tDVq1ICLi4u0r6uri2rVqmk88/bTTz+hZcuWUCqVkMvlmDVrVqk+S3j48GGcPXsW33//PerWrYvo6OgSr9wFBwdDpVJJ2+srkURERERElQ0/Yl5E69atQ1ZWFmrVqiW1iaIIfX19PHz4sMBzBUGQfv53YSMIQp5bO1/vnzvOv9tMTEzyjJNf7PzacnJyAADHjx9Hnz59EBYWBl9fXygUCvzwww+IjIx847WYmZnh1q1bedpzPwGhUCg02uvVqwdzc3PY29vjxYsX+PDDD/Hnn39CJpO9cYy3kclkJTqfiIiIiEibcOWuCLKysvDtt98iMjISCQkJ0nb+/HnUrVsXmzZtkvoeP35c+vnhw4e4evUqHB0dCzWOmZkZatasiSNHjmi0x8fHo2HDhqVzMa85evQo6tatixkzZsDT0xMNGjTIt3B7naOjI/7880+8ePFCo/3UqVOwsLBAlSpV3njugAEDkJOTg5UrV5ZK/kRERERExJW7Itm5cycePnyIIUOG5FmZ+vjjj7Fu3TrpJSRz5sxBtWrVUKNGDcyYMQPVq1fP97twbzJlyhSEhISgfv36cHd3R1RUFBISEjQKyNJiZ2eH1NRU/PDDD2jatCl27dql8XxgfgICAjB37lwMGDAA06ZNQ5UqVXDs2DGEh4cjODi4wHN1dHQwfvx4zJs3D5988gmMjY0BAM+fP0dCQoJGX7lcDjs7uxJdHxERERFRZcCVuyJYt24dOnTokKewA4AePXogISEBZ8+eBQAsXLgQ48aNQ5MmTZCWlobt27fDwMCg0GONHTsWkyZNwqRJk+Di4oI9e/Zg+/btaNCgQaldTy4/Pz9MmDABo0ePhru7O+Lj4zFr1qwCz1EoFDh8+DBEUYS/vz/c3NwQERGBuXPnYtKkSW8dMygoCJmZmfjyyy+ltqtXr8LDw0NjGzp0aImvj4iIiIioMhDEfz/oRVRBqdVqKBQKqFQqmJmZlXc6REREREQlVpS/cblyR0REREREpAVY3BEREREREWkBFndERERERERagMUdERERERGRFmBxR0REREREpAVY3Gmpu3fvwsfHByYmJjA3Ny/vdN4qMDBQ4zuAbdq0wfjx48stHyIiIiKiioYfMa8gAgMD8ejRI8TGxhaq/9KlS5GWloaEhIR8v8uXn+joaAwePDhPu0wmw4sXL4qSbpEtX74c/CoHEREREVHxsbjTUsnJyWjSpEmRP3puZmaGpKQkjTZBEEoztXwVtgAlIiIiIqL88bbMCqhNmzYYO3Yspk6diqpVq0KpVCI0NFQ6bmNjg61bt+Lbb7+FIAgIDAwEAKSmpsLPzw9yuRxmZmbo1asX7t27pxFbEAQolUqNrUaNGhpjjxkzBuPHj0eVKlVQo0YNrF69Gk+fPsXgwYNhamqK+vXr49dff5XOyc7OxpAhQ1CvXj0YGRnBwcEBy5cv1xj337dlEhERERFR0bC4q6BiYmJgYmKCEydOICIiAnPmzMH+/fsBAKdOnUKnTp3Qq1cvpKWlSbc8+vv748GDBzh06BD279+P5ORk9O7du1hjV69eHSdPnsSYMWMwcuRI9OzZEy1atMDZs2fh6+uLAQMG4NmzZwCAnJwc1K5dG5s3b8bly5cxe/ZsTJ8+HZs3by7RHGRkZECtVmtsRERERESVFYu7CsrV1RUhISFo0KABBg4cCE9PTxw4cAAAYGFhAZlMBiMjIyiVSigUCvz222+4cOECvvvuOzRp0gTNmzfHhg0bcOjQIZw6dUqKq1KpIJfLNbaOHTtqjO3m5oaZM2eiQYMGCA4OhpGREapXr45hw4ahQYMGmD17Nu7fv48LFy4AAPT19REWFoamTZuiXr16CAgIQGBgYImLu/DwcCgUCmmztrYuUTwiIiIiooqMz9xVUK6urhr7VlZWSE9Pf2P/xMREWFtbaxRATk5OMDc3R2JiIpo2bQoAMDU1xdmzZzXONTIyeuPYurq6qFatGlxcXKS23Ns4X8/nm2++wdq1a3Hr1i08f/4cL1++hLu7eyGvNn/BwcGYOHGitK9Wq1ngEREREVGlVezibsOGDfjmm29w8+ZNHDt2DHXr1sWyZctQr149+Pn5lWaOlA99fX2NfUEQkJOT88b+oijm+2KUf7fr6OjAzs6uyGO/3pYbLzefzZs3Y8KECYiMjISXlxdMTU3x+eef48SJEwWO8zYymQwymaxEMYiIiIiItEWxbsv8+uuvMXHiRHTp0gWPHj1CdnY2AMDc3BzLli0rzfyolDg5OSE1NRW3b9+W2i5fvgyVSoWGDRuW6diHDx9GixYtMGrUKHh4eMDOzg7JycllOiYRERERUWVTrOLuiy++wJo1azBjxgzo6upK7Z6enrh48WKpJUelp0OHDnB1dUVAQADOnj2LkydPYuDAgWjdujU8PT2lfqIo4u7du3m2glYF38bOzg6nT5/G3r17cfXqVcyaNUvjOT8iIiIiIiq5YhV3N2/ehIeHR552mUyGp0+fljgpKn2CICA2NhZVqlRBq1at0KFDB9ja2uLHH3/U6KdWq2FlZZVnK+h5vrcZMWIEPvroI/Tu3RvNmzfH/fv3MWrUqJJeEhERERERvUYQRVEs6klOTk4IDw+Hn58fTE1Ncf78edja2mLFihWIiYnBmTNnyiJXogKp1WooFAqoVCqYmZmVdzpERERERCVWlL9xi/VClSlTpuDTTz/FixcvIIoiTp48ie+//x7h4eFYu3ZtsZImIiIiIiKi4itWcTd48GBkZWVh6tSpePbsGfr164datWph+fLl6NOnT2nnSERERERERG9R5OIuKysLmzZtwgcffIBhw4bhn3/+QU5ODiwtLcsiP6IiaxSyFzoy43yPpSzs+o6zISIiIiJ6N4r8QhU9PT2MHDkSGRkZAIDq1auzsCMiIiIiIipnxXpbZvPmzXHu3LnSzoW0RGhoKNzd3aX9wMBA+Pv7l1s+RERERESVQbGKu1GjRmHSpEn48ssvcezYMVy4cEFjK6n09HR88sknqFOnDmQyGZRKJXx9fXHs2LESxy4LKSkpEAQhz9a/f/9yyyUhISHPsTZt2mD8+PHvPCciIiIiIip7xXqhSu/evQEAY8eOldoEQYAoihAEAdnZ2SVKqkePHsjMzERMTAxsbW1x7949HDhwAA8ePChWvMzMTOjr65cop4Ji5/rtt9/g7Ows7RsZGRUrpiiKyM7Ohp5esf55tA7ng4iIiIjo7Yr9EfN/bzdu3JD+b0k8evQIR44cwaJFi9C2bVvUrVsXzZo1Q3BwMLp2ffUyDJVKheHDh8PS0hJmZmZo164dzp8/L8XIvS1w/fr1sLW1hUwmw6pVq1CrVi3k5ORojNe9e3cMGjRI2t+xYweaNGkCQ0ND2NraIiwsDFlZWdJxQRDwzTffwM/PDyYmJpg3b550rFq1alAqldKmUCgAABkZGRg7diwsLS1haGiIli1b4tSpU9J5cXFxEAQBe/fuhaenJ2QyGQ4fPow2bdpgzJgxGD9+PKpUqYIaNWpg9erVePr0KQYPHgxTU1PUr18fv/76a7HmeuPGjfD09ISpqSmUSiX69eun8bHy3LwOHDgAT09PGBsbo0WLFkhKStKIs3DhQtSoUQOmpqYYMmQIXrx4UeC4oigiIiICtra2MDIygpubG3766ae3zgcREREREb1ZsYq7unXrFriVhFwuh1wuR2xsrPTSlteJooiuXbvi7t272L17N86cOYPGjRujffv2Git7169fx+bNm7F161YkJCTg448/xj///IODBw9KfR4+fIi9e/ciICAAALB37170798fY8eOxeXLl7Fq1SpER0dj/vz5GjmEhITAz88PFy9eRFBQ0FuvaerUqdi6dStiYmJw9uxZ2NnZwdfXN89K5NSpUxEeHo7ExES4uroCAGJiYlC9enWcPHkSY8aMwciRI9GzZ0+0aNECZ8+eha+vLwYMGIBnz54VfpL/z8uXLzF37lycP38esbGxuHnzJgIDA/P0mzFjBiIjI3H69Gno6elpXPPmzZsREhKC+fPn4/Tp07CyssLKlSsLHHfmzJmIiorC119/jUuXLmHChAno378/Dh069Nb5eF1GRgbUarXGRkRERERUaYnFEBMTU+BWUj/99JNYpUoV0dDQUGzRooUYHBwsnj9/XhRFUTxw4IBoZmYmvnjxQuOc+vXri6tWrRJFURRDQkJEfX19MT09XaNP9+7dxaCgIGl/1apVolKpFLOyskRRFMX3339fXLBggcY5GzZsEK2srKR9AOL48eM1+ty8eVMEIBoZGYkmJibSdvbsWfHJkyeivr6+uGnTJqn/y5cvxZo1a4oRERGiKIriwYMHRQBibGysRtzWrVuLLVu2lPazsrJEExMTccCAAVJbWlqaCEA8duxYgbmYmJiIOjo64rhx49407eLJkydFAOLjx4818vrtt9+kPrt27RIBiM+fPxdFURS9vLzEESNGaMRp3ry56ObmJu0PGjRI9PPzE0VRFJ88eSIaGhqK8fHxGucMGTJE7Nu3b4Hz8W8hISEigDyb9fjNYt1pO/PdiIiIiIgqEpVKJQIQVSrVW/sW6yGmcePGaexnZmbi2bNnMDAwgLGxMQYOHFi8SvP/9OjRA127dsXhw4dx7Ngx7NmzBxEREVi7di3+/vtvPHnyBNWqVdM45/nz50hOTpb269atCwsLC40+AQEBGD58OFauXAmZTIZNmzahT58+0NXVBQCcOXMGp06d0lipy87OxosXL/Ds2TMYG7/6dpqnp2e+ef/4449o2LChtG9tbY2kpCRkZmbC29tbatfX10ezZs2QmJiocX5+cV9fsdLV1UW1atXg4uIitdWoUQMANG6nzC+X3Ot/3blz5xAaGoqEhAQ8ePBAumU1NTUVTk5O+eZgZWUljVenTh0kJiZixIgRGnG9vLw0Vkhfd/nyZbx48QI+Pj4a7S9fvoSHh4dG25vmOVdwcDAmTpwo7avValhbWxd4DhERERGRtipWcffw4cM8bdeuXcPIkSMxZcqUEicFAIaGhvDx8YGPjw9mz56NoUOHIiQkBKNGjYKVlRXi4uLynGNubi79bGJikuf4Bx98gJycHOzatQtNmzbF4cOHsWTJEul4Tk4OwsLC8NFHH+WbT0GxgVfFnJ2dnUabKIoAXj2r9+/2f7flF/ffL4IRBEGjLTfGv58lzC+X11/w8vTpU3Ts2BEdO3bExo0bYWFhgdTUVPj6+uLly5dvzOFN4xVW7nm7du1CrVq1NI7JZDKN/TfN8+v9/30OEREREVFlVWqvH2zQoAEWLlyI/v3748qVK6UVVuLk5ITY2Fg0btwYd+/ehZ6eHmxsbIoUw8jICB999BE2bdqE69evw97eHk2aNJGON27cGElJSXmKopKws7ODgYEBjhw5gn79+gF4tdJ5+vTpcv0swZUrV/DPP/9g4cKF0mrX6dOnixynYcOGOH78uMZq7fHjx9/Y38nJCTKZDKmpqWjdunXREyciIiIionyV6rvldXV18ddff5Uoxv3799GzZ08EBQXB1dUVpqamOH36NCIiIuDn54cOHTrAy8sL/v7+WLRoERwcHPDXX39h9+7d8Pf3f+utfAEBAfjggw9w6dKlPN+hmz17Nrp16wZra2v07NkTOjo6uHDhAi5evKjxVsyiMDExkVY0q1atijp16iAiIgLPnj3DkCFDihWzNNSpUwcGBgb44osvMGLECPz555+YO3dukeOMGzcOgwYNgqenJ1q2bIlNmzbh0qVLsLW1zbe/qakpJk+ejAkTJiAnJwctW7aEWq1GfHw85HK5xptLiYiIiIio8IpV3G3fvl1jXxRFpKWl4csvv9R4tqw45HI5mjdvjqVLlyI5ORmZmZmwtrbGsGHDMH36dAiCgN27d2PGjBkICgrC33//DaVSiVatWknPnxWkXbt2qFq1KpKSkqSVtFy+vr7YuXMn5syZg4iICOjr68PR0RFDhw4t0TUtXLgQOTk5GDBgAB4/fgxPT0/s3bsXVapUKVHckrCwsEB0dDSmT5+OFStWoHHjxli8eDG6d+9epDi9e/dGcnIypk2bhhcvXqBHjx4YOXIk9u7d+8Zz5s6dC0tLS4SHh+PGjRswNzdH48aNMX369JJeFhERERFRpSWIuQ+FFYGOjuYXFARBgIWFBdq1a4fIyEjppRtE75JarYZCoYD1+M3QkRnn2ydlYdd3nBURERERUfHl/o2rUqlgZmZWYN9irdwV92UaRO/Cn2G+b/3FJyIiIiLSNsX6iPmcOXPy/Wj28+fPMWfOnBInRUREREREREVTrNsydXV1kZaWBktLS432+/fvw9LSEtnZ2aWWIFFhFWXJmoiIiIioIijz2zLz+0YbAJw/fx5Vq1YtTkiiUtMoZO8bn7krS3yej4iIiIjKU5GKuypVqkAQBAiCAHt7e40CLzs7G0+ePMGIESNKPUkiIiIiIiIqWJGKu2XLlkEURQQFBSEsLAwKhUI6ZmBgABsbG3h5eZV6kqVFEAT8/PPP8Pf3L1T/6OhojB8/Ho8ePSrTvMpaXFwc2rZti4cPH8Lc3Ly80yEiIiIiojJQpOIu9wPT9erVQ4sWLaCvr18mSZVEYGAgHj16hNjY2DzH0tLS3um35YpaTALAqlWrsHLlSly/fh36+vqoV68e+vTpg2nTphU7jxYtWiAtLU2jGH+b0NBQxMbGIiEhAcD/LxALEhUVhcDAwGLnSURERERExVesZ+5at24t/fz8+XNkZmZqHP+vvsxCqVSWdwoFWrduHSZOnIgVK1agdevWyMjIwIULF3D58uVix8zMzISBgUGJrz23QMw1btw4qNVqREVFSW1FKR6JiIiIiKh0FetTCM+ePcPo0aNhaWkJuVyOKlWqaGz/VYIgSCt6KSkpEAQB27ZtQ9u2bWFsbAw3NzccO3bsjeffv38fzZo1Q/fu3fHixQs8fPgQAQEBsLCwgJGRERo0aKBR7LyuMOPt2LEDvXr1wpAhQ2BnZwdnZ2f07dsXc+fO1Yi1fv16ODs7QyaTwcrKCqNHj9a4xm+++QZ+fn4wMTHBvHnzEBcXB0EQpNtLo6OjYW5ujtjYWNjb28PQ0BA+Pj64ffu2dDwsLAznz5+XnrH87rvvoFQqpc3IyAgymUzav337Nrp3747q1atDoVCgdevWOHv2rEbeV65cQcuWLWFoaAgnJyf89ttvGv8mL1++xOjRo2FlZQVDQ0PY2NggPDz8jf8eGRkZUKvVGhsRERERUWVVrOJuypQp+P3337Fy5UrIZDKsXbsWYWFhqFmzJr799tvSzrFMzZgxA5MnT0ZCQgLs7e3Rt29fZGVl5el3584dvP/++3B0dMS2bdtgaGiIWbNm4fLly/j111+RmJiIr7/+GtWrVy/2eEqlEsePH8etW7feeP7XX3+NTz/9FMOHD8fFixexfft22NnZafQJCQmBn58fLl68iKCgoHzjPHv2DPPnz0dMTAyOHj0KtVqNPn36AAB69+6NSZMmwdnZGWlpaUhLS0Pv3r0LvK7Hjx9j0KBBOHz4MI4fP44GDRqgS5cuePz4MYBXH7739/eHsbExTpw4gdWrV2PGjBkaMVasWIHt27dj8+bNSEpKwsaNG2FjY/PGMcPDw6FQKKTN2tq6wByJiIiIiLRZsW7L3LFjB7799lu0adMGQUFBeP/992FnZ4e6deti06ZNCAgIKO08y8zkyZPRteurV9iHhYXB2dkZ169fh6Ojo9Tn6tWr8PHxgZ+fH5YvXy69JTQ1NRUeHh7w9PQEgAILkcKMFxISgo8++gg2Njawt7eHl5cXunTpgo8//hg6Oq/q8Hnz5mHSpEkYN26cFLNp06YaY/Tr10+jqLt582aePDIzM/Hll1+iefPmAICYmBg0bNgQJ0+eRLNmzSCXy6Gnp1fo2znbtWunsb9q1SpUqVIFhw4dQrdu3bBv3z4kJycjLi5Oijl//nz4+PhI56SmpqJBgwZo2bIlBEFA3bp1CxwzODgYEydOlPbVajULPCIiIiKqtIq1cvfgwQPUq1cPwKvn6x48eAAAaNmyJf7444/Sy+4dcHV1lX62srICAKSnp0ttz58/R8uWLeHv748VK1ZofP5h5MiR+OGHH+Du7o6pU6ciPj6+RONZWVnh2LFjuHjxIsaOHYvMzEwMGjQInTp1Qk5ODtLT0/HXX3+hffv2BY6RW2wWRE9PT6Ofo6MjzM3NkZiY+NZz85Oeno4RI0bA3t5eWkl78uQJUlNTAQBJSUmwtrbWKBabNWumESMwMBAJCQlwcHDA2LFjsW/fvgLHlMlkMDMz09iIiIiIiCqrYhV3tra2SElJAQA4OTlh8+bNAF6t6FW0V+2//sbP3MItJydHapPJZOjQoQN27dqFO3fuaJzbuXNn3Lp1C+PHj5eKrsmTJ5doPABo1KgRPv30U2zatAn79+/H/v37cejQIRgZGRXqmkxMTArVL78P0efXVhiBgYE4c+YMli1bhvj4eCQkJKBatWp4+fIlgDd/+P51jRs3xs2bNzF37lw8f/4cvXr1wscff1ysfIiIiIiIKptiFXeDBw/G+fPnAby6NS732bsJEyZgypQppZpgedPR0cGGDRvQpEkTtGvXDn/99ZfGcQsLCwQGBmLjxo1YtmwZVq9eXarjOzk5AQCePn0KU1NT2NjY4MCBAyWOm5WVhdOnT0v7SUlJePTokXQ7qoGBAbKzswsd7/Dhwxg7diy6dOkivezln3/+kY47OjoiNTUV9+7dk9pOnTqVJ46ZmRl69+6NNWvW4Mcff8TWrVullWEiIiIiInqzYj1zN2HCBOnntm3b4sqVKzh9+jTq168PNze3UkuuuFQqlfR9tlxVq1YtdjxdXV1s2rQJffv2Rbt27aTnxmbPno0mTZrA2dkZGRkZ2LlzJxo2bFjscUaOHImaNWuiXbt2qF27NtLS0jBv3jxYWFhIH4cPDQ3FiBEjYGlpic6dO+Px48c4evQoxowZU6Sx9PX1MWbMGKxYsQL6+voYPXo03nvvPelWSRsbG9y8eRMJCQmoXbs2TE1NIZPJ3hjPzs4OGzZsgKenJ9RqNaZMmaKx0ujj44P69etj0KBBiIiIwOPHj6UXquSu6C1duhRWVlZwd3eHjo4OtmzZAqVSWeFWg4mIiIiIykOxVu5e9+LFC9SpUwcfffTRf6KwA159cNvDw0Njmz17doli6unp4fvvv4ezszPatWuH9PR0GBgYIDg4GK6urmjVqhV0dXXxww8/FHuMDh064Pjx4+jZsyfs7e3Ro0cPGBoa4sCBA6hWrRqAVx+SX7ZsGVauXAlnZ2d069YN165dK/JYxsbGmDZtGvr16wcvLy8YGRlp5N6jRw906tQJbdu2hYWFBb7//vsC461fvx4PHz6Eh4cHBgwYgLFjx8LS0lI6rquri9jYWDx58gRNmzbF0KFDMXPmTACAoaEhAEAul2PRokXw9PRE06ZNkZKSgt27d0svkyEiIiIiojcTRFEUi3pSdnY2FixYgG+++Qb37t3D1atXYWtri1mzZsHGxgZDhgwpi1yplERHR2P8+PHSd+/Ky9GjR9GyZUtcv34d9evXL3E8tVoNhUIBlUrFl6sQERERkVYoyt+4xVoSmT9/PqKjoxEREQEDAwOp3cXFBWvXri1OSKoEfv75Z+zfvx8pKSn47bffMHz4cHh7e5dKYUdEREREVNkVq7j79ttvsXr1agQEBEBXV1dqd3V1xZUrV0otOdIujx8/xqhRo+Do6IjAwEA0bdoUv/zyS3mnRURERESkFYp1W6aRkRGuXLmCunXrwtTUFOfPn4etrS0uX76MZs2a4cmTJ2WRK1GBcpesrcdvho7MuLzToXcoZWHX8k6BiIiIqEyU+W2Zzs7OOHz4cJ72LVu2wMPDozghiYiIiIiIqASK9SmEkJAQDBgwAP/73/+Qk5ODbdu2ISkpCd9++y127txZ2jlSMdnY2GD8+PEYP358eadCRERERERlrEgrdzdu3IAoivjggw/w448/Yvfu3RAEAbNnz0ZiYiJ27NgBHx+fsspVK8XHx0NXVxedOnUq71SKxMbGBsuWLcvTvmzZMtjY2Ej7oaGhEAQBgiBAR0cHNWvWREBAAG7fvq1xXps2bViEEhERERGVQJGKuwYNGuDvv/8GAPj6+kKpVOL69et49uwZjhw5go4dO5ZJktps/fr1GDNmDI4cOYLU1NTyTuetXr58WeRznJ2dkZaWhjt37uDHH3/ExYsX0atXrzLIjoiIiIio8ipScffvd6/8+uuvePbsWakmVJk8ffoUmzdvxsiRI9GtWzdER0dLx+Li4iAIAg4cOABPT08YGxujRYsWSEpK0oixfft2eHp6wtDQENWrV8dHH32kcfzZs2cICgqCqakp6tSpg9WrV2scv3jxItq1awcjIyNUq1YNw4cP13ghTmBgIPz9/REeHo6aNWvC3t6+yNepp6cHpVKJmjVr4v3338ewYcNw/PhxqNXqIsciIiIiIqL8FeuFKrmK8aJNes2PP/4IBwcHODg4oH///oiKisozpzNmzEBkZCROnz4NPT09BAUFScd27dqFjz76CF27dsW5c+ekQvB1kZGR8PT0xLlz5zBq1CiMHDlS+lzFs2fP0KlTJ1SpUgWnTp3Cli1b8Ntvv2H06NEaMQ4cOIDExETs37+/xM9U3r17F9u2bYOurq7GZzSKIyMjA2q1WmMjIiIiIqqsivRCldxnp/7dRsWzbt069O/fHwDQqVMnPHnyBAcOHECHDh2kPvPnz0fr1q0BAJ999hm6du2KFy9ewNDQEPPnz0efPn0QFhYm9Xdzc9MYo0uXLhg1ahQAYNq0aVi6dCni4uLg6OiITZs24fnz5/j2229hYmICAPjyyy/xwQcfYNGiRahRowYAwMTEBGvXrtX4YH1RXLx4EXK5HDk5OXj+/DkAYOzYsdKYxRUeHq5x7URERERElVmRijtRFBEYGAiZTAYAePHiBUaMGJHnj/Rt27aVXoZaKikpCSdPnpTmSk9PD71798b69es1ijtXV1fpZysrKwBAeno66tSpg4SEBAwbNqzAcV4/XxAEKJVKpKenAwASExPh5uam8e/n7e2NnJwcJCUlScWdi4tLsQs7AHBwcMD27duRkZGBX375BVu2bMH8+fOLHS9XcHAwJk6cKO2r1WpYW1uXOC4RERERUUVUpOJu0KBBGvu5q05UdOvWrUNWVhZq1aoltYmiCH19fTx8+FBq09fXl37OXSXNyckB8Opj8m/z+vm5MXLPF0XxjSuvr7fnt8JmZmYGlUqVp/3Ro0dQKBQabQYGBrCzswPw6uUq165dw8iRI7Fhw4a35l8QmUwm/Q8NRERERESVXZGKu6ioqLLKo1LJysrCt99+i8jIyDxvGO3Rowc2bdqERo0avTWOq6srDhw4gMGDBxcrDycnJ8TExODp06dSAXf06FHo6Oi89cUpjo6OOHXqVJ72U6dOwcHBocBzZ82aBXt7e0yYMAGNGzcuVu5ERERERKSpWB8xp5LZuXMnHj58iCFDhuRZ5fr444+xbt06LF269K1xQkJC0L59e9SvXx99+vRBVlYWfv31V0ydOrVQeQQEBCAkJASDBg1CaGgo/v77b4wZMwYDBgyQbsl8k4kTJ8Lb2xtz5szBxx9/DADYunUr9uzZg/j4+ALPtbW1hZ+fH2bPnq3xgpa///4bCQkJGn2VSiWUSmWhroeIiIiIqDIr0dsyqXjWrVuHDh065CnsgFcrdwkJCTh79uxb47Rp0wZbtmzB9u3b4e7ujnbt2uHEiROFzsPY2Bh79+7FgwcP0LRpU3z88cdo3749vvzyy7ee+95772Hv3r347bff0LJlS7Rs2RL79u3D3r170bx587eeP2nSJOzatUsj3++++w4eHh4a2zfffFPo6yEiIiIiqswEkd8zIC2hVquhUCigUqlgZmZW3ukQEREREZVYUf7G5codERERERGRFmBxR0REREREpAVY3BEREREREWkBvi2TtE6jkL3QkRkDAFIWdi3nbIiIiIiI3g2u3BEREREREWkBFndlKDAwEIIgQBAE6OnpoU6dOhg5ciQePnxY3qkViY2NDZYtW6bRFh0dDXNz83z7m5ubIzo6WtrPnQNBECCXy+Hm5qZxHADi4uIgCAIePXpUqrkTEREREVUWLO7KWKdOnZCWloaUlBSsXbsWO3bswKhRo8o7rXcuKioKaWlpOH/+PHr37o3Bgwdj79695Z0WEREREZHWYHFXxmQyGZRKJWrXro2OHTuid+/e2Ldvn3Q8KioKDRs2hKGhIRwdHbFy5UqN80+ePAkPDw8YGhrC09MTP//8MwRBQEJCAoD8V9BiY2MhCIJG244dO9CkSRMYGhrC1tYWYWFhyMrKko6HhoaiTp06kMlkqFmzJsaOHQvg1YfSb926hQkTJkirb8Vhbm4OpVKJ+vXrY/r06ahatarGPBARERERUcnwhSrv0I0bN7Bnzx7o6+sDANasWYOQkBB8+eWX8PDwwLlz5zBs2DCYmJhg0KBBePr0Kbp164Z27dph48aNuHnzJsaNG1fkcffu3Yv+/ftjxYoVeP/995GcnIzhw4cDAEJCQvDTTz9h6dKl+OGHH+Ds7Iy7d+/i/PnzAIBt27bBzc0Nw4cPx7Bhw0o8B9nZ2di6dSsePHggzUNxZWRkICMjQ9pXq9UlTY+IiIiIqMJicVfGdu7cCblcjuzsbLx48QIAsGTJEgDA3LlzERkZiY8++ggAUK9ePVy+fBmrVq3CoEGDsGnTJmRnZ2P9+vUwNjaGs7Mz7ty5g5EjRxYph/nz5+Ozzz7DoEGDAAC2traYO3cupk6dipCQEKSmpkKpVKJDhw7Q19dHnTp10KxZMwBA1apVoaurC1NTUyiVymLPQ9++faGrq4sXL14gOzsbVatWxdChQ4sdDwDCw8MRFhZWohhERERERNqCt2WWsbZt2yIhIQEnTpzAmDFj4OvrizFjxuDvv//G7du3MWTIEMjlcmmbN28ekpOTAQCJiYlwc3ODsbGxFM/Ly6vIOZw5cwZz5szRGGfYsGFIS0vDs2fP0LNnTzx//hy2trYYNmwYfv75Z41bNkvD0qVLkZCQgP3798Pd3R1Lly6FnZ1diWIGBwdDpVJJ2+3bt0spWyIiIiKiiocrd2XMxMREKmJWrFiBtm3bIiwsDKNHjwbw6tbM5s2ba5yjq6sLABBF8a3xdXR08vTLzMzU2M/JyUFYWJi0Qvg6Q0NDWFtbIykpCfv378dvv/2GUaNG4fPPP8ehQ4feeOukmZkZnjx5guzsbClf4NVtl0+ePIFCodDor1QqYWdnBzs7O2zZsgUeHh7w9PSEk5PTW6/xTWQyGWQyWbHPJyIiIiLSJly5e8dCQkKwePFiZGdno1atWrhx44ZU9ORu9erVAwA4OTnh/PnzeP78uXT+8ePHNeJZWFjg8ePHePr0qdSW+7KVXI0bN0ZSUlKecezs7KCj8+pXwMjICN27d8eKFSsQFxeHY8eO4eLFiwAAAwMDZGdna8R0dHREdnY2zp07p9F+9uxZZGdnw8HB4Y1zYGdnhx49eiA4OLiQs0ZERERERG/Dlbt3rE2bNnB2dsaCBQsQGhqKsWPHwszMDJ07d0ZGRgZOnz6Nhw8fYuLEiejXrx9mzJiBIUOGYObMmUhJScHixYs14jVv3hzGxsaYPn06xowZg5MnT+b5htzs2bPRrVs3WFtbo2fPntDR0cGFCxdw8eJFzJs3D9HR0cjOzpZibdiwAUZGRqhbty6AV9+5++OPP9CnTx/IZDJUr14dTk5O6Ny5M4KCgrBkyRLUr18fycnJmDhxIjp37vzWFblJkybBzc0Np0+fhqenp9R+8eJFmJqaavR1d3cv/oQTEREREVUSXLkrBxMnTsSaNWvg6+uLtWvXIjo6Gi4uLmjdujWio6OllTu5XI4dO3bg8uXL8PDwwIwZM7Bo0SKNWFWrVsXGjRuxe/duuLi44Pvvv0doaKhGH19fX+zcuRP79+9H06ZN8d5772HJkiVS8WZubo41a9bA29sbrq6uOHDgAHbs2IFq1aoBAObMmYOUlBTUr18fFhYWUtwffvgBHTp0wMiRI+Hk5ISRI0eiffv2+P777986By4uLujQoQNmz56t0d6qVSt4eHhobERERERE9HaCWJgHu+g/IyUlBfXq1cO5c+e4ovUvarUaCoUC1uM3Q0f26iU0KQu7lnNWRERERETFl/s3rkqlgpmZWYF9eVsmaZ0/w3zf+otPRERERKRteFsmERERERGRFuDKXQVjY2NTqE8kEBERERFR5cKVOyIiIiIiIi3A4o6IiIiIiEgLsLgjAK++vzd+/PjyToOIiIiIiIqpQhZ3gYGB8Pf3z9MeFxcHQRDg7+8PQRBKtEVHR0vxcjcLCwt07twZ58+fl8a8ceMG+vbti5o1a8LQ0BC1a9eGn58frl69KvV5PYaJiQkaNGiAwMBAnDlz5l1MV6Fs27YNc+fOLXT/lJQUCIKAhISEPMf8/f0RGBgo7bdp00a6fgMDA9SvXx/BwcHIyMjQOE8QBMTGxhbzCoiIiIiIKrcKWdy9zfLly5GWliZtABAVFSXt37p1S+N4r1690KlTJ4223r17S/GSkpKQlpaGXbt24eHDh+jUqRNUKhVevnwJHx8fqNVqbNu2DUlJSfjxxx/RqFEjqFQqjZxyx7906RK++uorPHnyBM2bN8e33377TufmTapWrQpTU9Myiz9s2DCkpaXh+vXriIiIwFdffZXnY+tERERERFR8WlncKRQKKJVKaQMAc3Nzab9OnToax42MjCCTyfK05bK0tIRSqUSzZs0QGRmJu3fv4vjx47h8+TJu3LiBlStX4r333kPdunXh7e2N+fPno2nTpho55Y5vY2ODjh074qeffkJAQABGjx6Nhw8fSv22bt0KZ2dnyGQy2NjYIDIyUiOOjY0N5s2bh4EDB0Iul6Nu3br45Zdf8Pfff8PPzw9yuRwuLi44ffq0dM79+/fRt29f1K5dG8bGxnBxccH333+vEffft2Xa2NhgwYIFCAoKgqmpKerUqYPVq1cX+9/E2NhYmvsePXrAx8cH+/btK3Y8IiIiIiLSpJXFXVnKLfoyMzNhYWEBHR0d/PTTT8jOzi5yrAkTJuDx48fYv38/AODMmTPo1asX+vTpg4sXLyI0NBSzZs1CdHS0xnlLly6Ft7c3zp07h65du2LAgAEYOHAg+vfvj7Nnz8LOzg4DBw6UPpnw4sULNGnSBDt37sSff/6J4cOHY8CAAThx4kSB+UVGRsLT0xPnzp3DqFGjMHLkSFy5cqXI1/lv58+fx9GjR6Gvr1+iOBkZGVCr1RobEREREVFlVWGLu507d0Iul2tsnTt3LtMx79+/j7CwMJiamqJZs2aoVasWVqxYgdmzZ6NKlSpo164d5s6dixs3bhQqnqOjI4BXz68BwJIlS9C+fXvMmjUL9vb2CAwMxOjRo/H5559rnNelSxd88sknaNCgAWbPno3Hjx+jadOm6NmzJ+zt7TFt2jQkJibi3r17AIBatWph8uTJcHd3h62tLcaMGQNfX19s2bKlwPy6dOmCUaNGwc7ODtOmTUP16tURFxdXtEn7PytXroRcLodMJoO7uzv+/vtvTJkypVixcoWHh0OhUEibtbV1ieIREREREVVkFba4a9u2LRISEjS2tWvXlslYtWvXhlwuR/Xq1ZGYmIgtW7bA0tISAPDpp5/i7t272LhxI7y8vLBlyxY4OztLq3EFyV1ZEwQBAJCYmAhvb2+NPt7e3rh27ZrGyqCrq6v0c40aNQAALi4uedrS09MBANnZ2Zg/fz5cXV1RrVo1yOVy7Nu3D6mpqQXm9/o4giBAqVRKMYsqICAACQkJOHbsGHr16oWgoCD06NGjWLFyBQcHQ6VSSdvt27dLFI+IiIiIqCLTK+8EisvExAR2dnYabXfu3CmTsQ4fPgwzMzNYWFjAzMwsz3FTU1N0794d3bt3x7x58+Dr64t58+bBx8enwLiJiYkAgHr16gF4VezlFnq5cgvA171+O2Nu//zacnJyALy6vXLp0qVYtmwZXFxcYGJigvHjx+Ply5cF5vfv2yYFQZBiKhQKAMjz4hgAePToEerWravRplAopH+vjRs3wtnZGevWrcOQIUMKzKEgMpkMMpms2OcTEREREWmTCrty9y7Vq1cP9evXz7ew+zdBEODo6IinT5++te+yZctgZmaGDh06AACcnJxw5MgRjT7x8fGwt7eHrq5u8ZLHq+LUz88P/fv3h5ubG2xtbXHt2rVixwOAKlWqwMLCAqdOndJof/78OS5dugQHB4c3nquvr4/p06dj5syZePbsWYnyICIiIiKiV1jclUBCQgL8/Pzw008/4fLly7h+/TrWrVuH9evXw8/PT6Pvo0ePcPfuXdy6dQv79+/Hxx9/jO+++w5ff/01zM3NAQCTJk3CgQMHMHfuXFy9ehUxMTH48ssvMXny5BLlaWdnh/379yM+Ph6JiYn45JNPcPfu3RLFBIDJkydjwYIF2LBhA5KTk3H69GkMHDgQenp66N+/f4Hn9uvXD4IgYOXKlRrtN2/ezHO77ZMnT0qcKxERERGRtquwt2X+F9SuXRs2NjYICwuTPuqduz9hwgSNvoMHDwYAGBoaolatWmjZsiVOnjyJxo0bS30aN26MzZs3Y/bs2Zg7dy6srKwwZ84cjQ+CF8esWbNw8+ZN+Pr6wtjYGMOHD4e/v3++t1QWxeTJkyGXy7F48WIkJyfD3Nwc7733nnQba0EMDAwwevRoREREYMSIEZDL5QCAiRMn5ul78OBBtGnTpkS5EhERERFpO0HM76EuogpIrVZDoVBApVIV6hZaIiIiIqL/uqL8jcvbMomIiIiIiLQAizsiIiIiIiItwOKOiIiIiIhIC7C4IyIiIiIi0gIs7qjQbGxssGzZsvJOg4iIiIiI8sHirhwEBgZCEAQsXLhQoz02NhaCIJTqWAcPHkTbtm1RtWpVGBsbo0GDBhg0aBCysrIAANHR0dJ39orKxsYGgiBAEAQYGxujUaNGWLVqVYlzbtOmDcaPH1/iOERERERElQmLu3JiaGiIRYsW4eHDh2U2xqVLl9C5c2c0bdoUf/zxBy5evIgvvvgC+vr6yMnJKZUx5syZg7S0NFy4cAH+/v4YMWIEfvzxx2LFyszMLJWciIiIiIgqIxZ35aRDhw5QKpUIDw9/Y5+tW7fC2dkZMpkMNjY2iIyM1DhuY2ODBQsWICgoCKampqhTpw5Wr14tHd+/fz+srKwQERGBRo0aoX79+ujUqRPWrl0LAwMDxMXFYfDgwVCpVNIKXGhoKAAgPT0dH3zwAYyMjFCvXj1s2rQp3xxNTU2hVCphZ2eHefPmoUGDBoiNjQUApKamws/PD3K5HGZmZujVqxfu3bsnnRsaGgp3d3esX78etra2kMlkGDRoEA4dOoTly5dLOaWkpBRvkomIiIiIKhEWd+VEV1cXCxYswBdffIE7d+7kOX7mzBn06tULffr0wcWLFxEaGopZs2YhOjpao19kZCQ8PT1x7tw5jBo1CiNHjsSVK1cAAEqlEmlpafjjjz/yzaFFixZYtmwZzMzMkJaWhrS0NEyePBnAq1tHU1JS8Pvvv+Onn37CypUrkZ6e/tbrMjQ0RGZmJkRRhL+/Px48eIBDhw5h//79SE5ORu/evTX6X79+HZs3b8bWrVuRkJCAFStWwMvLC8OGDZNysra2znesjIwMqNVqjY2IiIiIqLLSK+8EKrMPP/wQ7u7uCAkJwbp16zSOLVmyBO3bt8esWbMAAPb29rh8+TI+//xzBAYGSv26dOmCUaNGAQCmTZuGpUuXIi4uDo6OjujZsyf27t2L1q1bQ6lU4r333kP79u0xcOBAmJmZwcDAAAqFAoIgQKlUSjGvXr2KX3/9FcePH0fz5s0BAOvWrUPDhg3feC1ZWVnYuHEjLl68iJEjR+K3337DhQsXcPPmTak427BhA5ydnXHq1Ck0bdoUAPDy5Uts2LABFhYWUiwDAwMYGxtr5JSf8PBwhIWFvW2aiYiIiIgqBa7clbNFixYhJiYGly9f1mhPTEyEt7e3Rpu3tzeuXbuG7Oxsqc3V1VX6ObdIy11h09XVRVRUFO7cuYOIiAjUrFkT8+fPh7OzM9LS0t6YU2JiIvT09ODp6Sm1OTo65vvilWnTpkEul8PIyAiffvoppkyZgk8++QSJiYmwtrbWWHVzcnKCubk5EhMTpba6detqFHZFERwcDJVKJW23b98uVhwiIiIiIm3A4q6ctWrVCr6+vpg+fbpGuyiKed6cKYpinvP19fU19gVByPOylFq1amHAgAH46quvcPnyZbx48QLffPPNG3PKHacwb+6cMmUKEhIScOvWLTx58gQRERHQ0dHJN//8rsvExOStY7yJTCaDmZmZxkZEREREVFmxuPsPCA8Px44dOxAfHy+1OTk54ciRIxr94uPjYW9vD11d3WKPVaVKFVhZWeHp06cAXt0C+fpKIAA0bNgQWVlZOH36tNSWlJSER48e5YlXvXp12NnZoWbNmhpFm5OTE1JTUzVW0y5fvgyVSlXg7Z1vyomIiIiIiArGZ+7+A1xdXREQEIAvvvhCaps0aRKaNm2KuXPnonfv3jh27Bi+/PJLrFy5stBxV61ahYSEBHz44YeoX78+Xrx4gW+//RaXLl2SxrKxscGTJ09w4MABuLm5wdjYGA4ODujUqROGDRuG1atXQ09PD+PHj4eRkVGhx+7QoYN0XcuWLUNWVhZGjRqF1q1ba9zumR8bGxucOHECKSkpkMvlqFq1KnR0+L9DEBEREREVhH8x/0fMnTtX47bLxo0bY/Pmzfjhhx/QqFEjzJ49G3PmzNF4mcrbNGvWDE+ePMGIESPg7OyM1q1b4/jx44iNjUXr1q0BvHpj5ogRI9C7d29YWFggIiICABAVFQVra2u0bt0aH330EYYPHw5LS8tCjy0IAmJjY1GlShW0atUKHTp0gK2tbaG+gTd58mTo6urCyckJFhYWSE1NLfS4RERERESVlSDm9yAXUQWkVquhUCigUqn4/B0RERERaYWi/I3LlTsiIiIiIiItwOKOiIiIiIhIC7C4IyIiIiIi0gIs7oiIiIiIiLQAizsiIiIiIiItwOKOiiwlJQWCICAhIaG8UyEiIiIiov/D4k6LBQYGQhCEPNv169dLFNfa2hppaWlo1KhRKWVKREREREQlpVfeCVDZ6tSpE6KiojTaLCwsShRTV1cXSqWyRDGIiIiIiKh0ceVOy8lkMiiVSo1t+fLlcHFxgYmJCaytrTFq1Cg8efIEAKBSqWBkZIQ9e/ZoxNm2bRtMTEzw5MmTfG/LvHTpErp27QozMzOYmpri/fffR3JyMgAgJycHc+bMQe3atSGTyeDu7q4RPzfetm3b0LZtWxgbG8PNzQ3Hjh0r+wkiIiIiItISLO4qIR0dHaxYsQJ//vknYmJi8Pvvv2Pq1KkAAIVCga5du2LTpk0a53z33Xfw8/ODXC7PE+9///sfWrVqBUNDQ/z+++84c+YMgoKCkJWVBQBYvnw5IiMjsXjxYly4cAG+vr7o3r07rl27phFnxowZmDx5MhISEmBvb4++fftKMfKTkZEBtVqtsRERERERVVoiaa1BgwaJurq6oomJibR9/PHHefpt3rxZrFatmrS/bds2US6Xi0+fPhVFURRVKpVoaGgo7tq1SxRFUbx586YIQDx37pwoiqIYHBws1qtXT3z58mW+edSsWVOcP3++RlvTpk3FUaNGacRbu3atdPzSpUsiADExMfGN1xcSEiICyLOpVKpCzA4RERER0X+fSqUq9N+4XLnTcm3btkVCQoK0rVixAgcPHoSPjw9q1aoFU1NTDBw4EPfv38fTp08BAF27doWenh62b98OANi6dStMTU3RsWPHfMdISEjA+++/D319/TzH1Go1/vrrL3h7e2u0e3t7IzExUaPN1dVV+tnKygoAkJ6e/sZrCw4Ohkqlkrbbt28XYkaIiIiIiLQTizstZ2JiAjs7O2l7+fIlunTpgkaNGmHr1q04c+YMvvrqKwBAZmYmAMDAwAAff/wxvvvuOwCvbsns3bs39PTyf/+OkZHRW/MQBEFjXxTFPG2vF4e5x3Jyct4YUyaTwczMTGMjIiIiIqqsWNxVMqdPn0ZWVhYiIyPx3nvvwd7eHn/99VeefgEBAdizZw8uXbqEgwcPIiAg4I0xXV1dcfjwYak4fJ2ZmRlq1qyJI0eOaLTHx8ejYcOGJb8gIiIiIiICwOKu0qlfvz6ysrLwxRdf4MaNG9iwYQO++eabPP1at26NGjVqICAgADY2NnjvvffeGHP06NFQq9Xo06cPTp8+jWvXrmHDhg1ISkoCAEyZMgWLFi3Cjz/+iKSkJHz22WdISEjAuHHjyuw6iYiIiIgqGxZ3lYy7uzuWLFmCRYsWoVGjRti0aRPCw8Pz9BMEAX379sX58+cLXLUDgGrVquH333/HkydP0Lp1azRp0gRr1qyRbrMcO3YsJk2ahEmTJsHFxQV79uzB9u3b0aBBgzK5RiIiIiKiykgQRVEs7ySISoNarYZCoYBKpeLzd0RERESkFYryNy5X7oiIiIiIiLQAizsiIiIiIiItwOKOiIiIiIhIC+T/4TKiCqxRyF7oyIyl/ZSFXcsxGyIiIiKid4MrdxVEdHQ0zM3NyzsNIiIiIiL6j2Jx938CAwMhCAIEQYC+vj5q1KgBHx8frF+/Hjk5OeWdHnr37o2rV68W6ZzXr0lPTw916tTByJEj8fDhw1LNLSUlBYIgICEhoVTjEhERERFR4bG4e02nTp2QlpaGlJQU/Prrr2jbti3GjRuHbt26ISsrq1xzMzIygqWlZZHPe/2a1q5dix07dmDUqFFlkCEREREREZUnFnevkclkUCqVqFWrFho3bozp06fjl19+wa+//oro6GgAQGpqKvz8/CCXy2FmZoZevXrh3r17UozQ0FC4u7tj/fr1qFOnDuRyOUaOHIns7GxERERAqVTC0tIS8+fP1xh7yZIlcHFxgYmJCaytrTFq1Cg8efJEOv7v2zJzx9mwYQNsbGygUCjQp08fPH78ON9rql27Njp27IjevXtj3759Gn2ioqLQsGFDGBoawtHREStXrtQ4Hh8fD3d3dxgaGsLT0xOxsbFFWqkTRRERERGwtbWFkZER3Nzc8NNPP0nH4+LiIAgCDhw4AE9PTxgbG6NFixZISkoqVHwiIiIiImJx91bt2rWDm5sbtm3bBlEU4e/vjwcPHuDQoUPYv38/kpOT0bt3b41zkpOT8euvv2LPnj34/vvvsX79enTt2hV37tzBoUOHsGjRIsycORPHjx+XztHR0cGKFSvw559/IiYmBr///jumTp1aYG7JycmIjY3Fzp07sXPnThw6dAgLFy58Y/8bN25gz5490NfXl9rWrFmDGTNmYP78+UhMTMSCBQswa9YsxMTEAAAeP36MDz74AC4uLjh79izmzp2LadOmFWkOZ86ciaioKHz99de4dOkSJkyYgP79++PQoUMa/WbMmIHIyEicPn0aenp6CAoKKjBuRkYG1Gq1xkZEREREVFnxbZmF4OjoiAsXLuC3337DhQsXcPPmTVhbWwMANmzYAGdnZ5w6dQpNmzYFAOTk5GD9+vUwNTWFk5MT2rZti6SkJOzevRs6OjpwcHDAokWLEBcXh/feew8AMH78eGm8evXqYe7cuRg5cmSeVbTX5eTkIDo6GqampgCAAQMG4MCBAxqrgjt37oRcLkd2djZevHgB4NUqYa65c+ciMjISH330kTT25cuXsWrVKgwaNAibNm2CIAhYs2YNDA0N4eTkhP/9738YNmxYoebu6dOnWLJkCX7//Xd4eXkBAGxtbXHkyBGsWrUKrVu3lvrOnz9f2v/ss8/QtWtXvHjxAoaGhvnGDg8PR1hYWKHyICIiIiLSdizuCkEURQiCgMTERFhbW0uFHQA4OTnB3NwciYmJUnFnY2MjFVwAUKNGDejq6kJHR0ejLT09Xdo/ePAgFixYgMuXL0OtViMrKwsvXrzA06dPYWJikm9e/x7HyspKIyYAtG3bFl9//TWePXuGtWvX4urVqxgzZgwA4O+//8bt27cxZMgQjWItKysLCoUCAJCUlARXV1eNAqtZs2aFnrvLly/jxYsX8PHx0Wh/+fIlPDw8NNpcXV01rgUA0tPTUadOnXxjBwcHY+LEidK+Wq3W+LchIiIiIqpMWNwVQmJiIurVqycVef/27/bXb3sEIL2B899tuW/hvHXrFrp06YIRI0Zg7ty5qFq1Ko4cOYIhQ4YgMzPzjXkVFDOXiYkJ7OzsAAArVqxA27ZtERYWhrlz50p916xZg+bNm2ucp6urm++15bYVVu4Yu3btQq1atTSOyWSyN15P7pgFvalUJpPliUFEREREVFmxuHuL33//HRcvXsSECRNQu3ZtpKam4vbt29IK0eXLl6FSqdCwYcNij3H69GlkZWUhMjJSWt3bvHlzqeT/byEhIejcuTNGjhyJmjVrolatWrhx4wYCAgLy7e/o6IhNmzYhIyNDKqROnz5d6PGcnJwgk8mQmpqqcQsmERERERGVLhZ3r8nIyMDdu3eRnZ2Ne/fuYc+ePQgPD0e3bt0wcOBA6OjowNXVFQEBAVi2bBmysrIwatQotG7dGp6ensUet379+sjKysIXX3yBDz74AEePHsU333xTilf2/7Vp0wbOzs5YsGABvvzyS4SGhmLs2LEwMzND586dkZGRgdOnT+Phw4eYOHEi+vXrhxkzZmD48OH47LPPkJqaisWLFwNAnhW9/N5u6eTkhMmTJ2PChAnIyclBy5YtoVarER8fD7lcjkGDBpXJdRIRERERVTYs7l6zZ88eWFlZQU9PD1WqVIGbmxtWrFiBQYMGSStqsbGxGDNmDFq1agUdHR106tQJX3zxRYnGdXd3x5IlS7Bo0SIEBwejVatWCA8Px8CBA0vjsvKYOHEiBg8ejGnTpmHo0KEwNjbG559/jqlTp8LExAQuLi7SC17MzMywY8cOjBw5Eu7u7nBxccHs2bPRr1+/PC866dOnT56xbt68iblz58LS0hLh4eG4ceMGzM3NpU9NEBERERFR6RDEojxARQRg06ZNGDx4MFQqFYyMjMo7HYlarYZCoYD1+M3QkRlL7SkLu5ZjVkRERERExZf7N65KpYKZmVmBfblyR2/17bffwtbWFrVq1cL58+cxbdo09OrV6z9V2L3uzzDft/7iExERERFpGxZ39FZ3797F7NmzcffuXVhZWaFnz54a39IjIiIiIqLyx9sySWsUZcmaiIiIiKgi4G2ZVKk1Ctmr8cwdEREREVFxVaT3N+iUdwJERERERERUcizuiIiIiIiItACLu0osMDAQ/v7+edrj4uIgCAL8/f0hCEKJtujoaCle7mZhYYHOnTvj/Pnz0pg3btxA3759UbNmTRgaGqJ27drw8/PD1atX3+GMEBERERFVXCzu6I2WL1+OtLQ0aQOAqKgoaf/WrVsax3v16oVOnTpptPXu3VuKl5SUhLS0NOzatQsPHz5Ep06doFKp8PLlS/j4+ECtVmPbtm1ISkrCjz/+iEaNGkGlUpXX5RMRERERVSh8oQq9kUKhgLm5uUabubk5lEplvv2NjIyQkZHxxuOWlpbS+ZGRkWjZsiWOHz+OGjVq4MaNG/j9999Rt25dAEDdunXh7e1dqtdDRERERKTNuHJH5SL3A+iZmZmwsLCAjo4OfvrpJ2RnZxc6RkZGBtRqtcZGRERERFRZsbir5Hbu3Am5XK6xde7cuUzHvH//PsLCwmBqaopmzZqhVq1aWLFiBWbPno0qVaqgXbt2mDt3Lm7cuFFgnPDwcCgUCmmztrYu07yJiIiIiP7LWNxVcm3btkVCQoLGtnbt2jIZq3bt2pDL5ahevToSExOxZcsWWFpaAgA+/fRT3L17Fxs3boSXlxe2bNkCZ2dn7N+//43xgoODoVKppO327dtlkjcRERERUUXAZ+4qORMTE9jZ2Wm03blzp0zGOnz4MMzMzGBhYQEzM7M8x01NTdG9e3d0794d8+bNg6+vL+bNmwcfH59848lkMshksjLJlYiIiIioouHKHb0z9erVQ/369fMt7P5NEAQ4Ojri6dOn7yAzIiIiIqKKj8UdlbuEhAT4+fnhp59+wuXLl3H9+nWsW7cO69evh5+fX3mnR0RERERUIfC2TCp3tWvXho2NDcLCwpCSkgJBEKT9CRMmlHd6REREREQVgiCKoljeSRCVBrVaDYVCAZVKVahbP4mIiIiI/uuK8jcub8skIiIiIiLSAizuiIiIiIiItACfuSOt0yhkL3Rkxm/tl7Kw6zvIhoiIiIjo3eDKHRERERERkRZgcfcfExcXB0EQ8OjRo/JOpcQEQUBsbGx5p0FEREREVCmwuCtl6enp+OSTT1CnTh3IZDIolUr4+vri2LFjpTZGbgEoCAJ0dHSgUCjg4eGBqVOnIi0trdTGKam0tDR07ty5vNMgIiIiIqoU+MxdKevRowcyMzMRExMDW1tb3Lt3DwcOHMCDBw9KfaykpCSYmZlBrVbj7NmziIiIwLp16xAXFwcXF5dSH6+olEpleadARERERFRpcOWuFD169AhHjhzBokWL0LZtW9StWxfNmjVDcHAwunbtKn2gOyEhQeMcQRAQFxenEevo0aNwc3ODoaEhmjdvjosXL+YZz9LSEkqlEvb29ujTpw+OHj0KCwsLjBw5UuqTk5ODOXPmoHbt2pDJZHB3d8eePXuk47k5bd68Ge+//z6MjIzQtGlTXL16FadOnYKnpyfkcjk6deqEv//+Wzrv1KlT8PHxQfXq1aFQKNC6dWucPXtWI7/Xb8vMHWfbtm1o27YtjI2N4ebmprGieevWLXzwwQeoUqUKTExM4OzsjN27dxfnn4KIiIiIqNJhcVeK5HI55HI5YmNjkZGRUaJYU6ZMweLFi3Hq1ClYWlqie/fuyMzMLPAcIyMjjBgxAkePHkV6ejoAYPny5YiMjMTixYtx4cIF+Pr6onv37rh27ZrGuSEhIZg5cybOnj0LPT099O3bF1OnTsXy5ctx+PBhJCcnY/bs2VL/x48fY9CgQTh8+DCOHz+OBg0aoEuXLnj8+HGBOc6YMQOTJ09GQkIC7O3t0bdvX2RlZQEAPv30U2RkZOCPP/7AxYsXsWjRIsjl8jfGysjIgFqt1tiIiIiIiCorFnelSE9PD9HR0YiJiYG5uTm8vb0xffp0XLhwocixQkJC4OPjAxcXF8TExODevXv4+eef33qeo6MjgFcrZQCwePFiTJs2DX369IGDgwMWLVoEd3d3LFu2TOO8yZMnw9fXFw0bNsS4ceNw9uxZzJo1C97e3vDw8MCQIUNw8OBBqX+7du3Qv39/NGzYEA0bNsSqVavw7NkzHDp0qMD8Jk+ejK5du8Le3h5hYWG4desWrl+/DgBITU2Ft7c3XFxcYGtri27duqFVq1ZvjBUeHg6FQiFt1tbWb50fIiIiIiJtxeKulPXo0QN//fUXtm/fDl9fX8TFxaFx48aIjo4uUhwvLy/p56pVq8LBwQGJiYlvPU8URQCvbolUq9X466+/4O3trdHH29s7TyxXV1fp5xo1agCAxnN7NWrUkFYDgVcvjhkxYgTs7e2l4urJkydITU0tML/Xx7GyspJiAcDYsWMxb948eHt7IyQk5K1FcXBwMFQqlbTdvn27wP5ERERERNqMxV0ZMDQ0hI+PD2bPno34+HgEBgYiJCQEOjqvpju3AAPw1lstXycIwlv75BZtNjY2bzxPFMU8bfr6+nn6/7stJydH2g8MDMSZM2ewbNkyxMfHIyEhAdWqVcPLly8LzC+/cXLjDh06FDdu3MCAAQNw8eJFeHp64osvvnhjLJlMBjMzM42NiIiIiKiyYnH3Djg5OeHp06ewsLAAAI3PFbz+cpXXHT9+XPr54cOHuHr1qnTL5Zs8f/4cq1evRqtWrWBhYQEzMzPUrFkTR44c0egXHx+Phg0bFvNqXjl8+DDGjh2LLl26wNnZGTKZDP/880+JYgKAtbU1RowYgW3btmHSpElYs2ZNiWMSEREREVUG/BRCKbp//z569uyJoKAguLq6wtTUFKdPn0ZERAT8/PxgZGSE9957DwsXLoSNjQ3++ecfzJw5M99Yc+bMQbVq1VCjRg3MmDED1atXh7+/v0af9PR0vHjxAo8fP8aZM2cQERGBf/75B9u2bZP6TJkyBSEhIahfvz7c3d0RFRWFhIQEbNq0qUTXamdnhw0bNsDT0xNqtRpTpkyBkZFRiWKOHz8enTt3hr29PR4+fIjff/+9xEUoEREREVFlweKuFMnlcjRv3hxLly5FcnIyMjMzYW1tjWHDhmH69OkAgPXr1yMoKAienp5wcHBAREQEOnbsmCfWwoULMW7cOFy7dg1ubm7Yvn07DAwMNPo4ODhAEATI5XLY2tqiY8eOmDhxosb35caOHQu1Wo1JkyYhPT0dTk5O2L59Oxo0aFCia12/fj2GDx8ODw8P1KlTBwsWLMDkyZNLFDM7Oxuffvop7ty5AzMzM3Tq1AlLly4tUUwiIiIiospCEF9/AIyoAlOr1a/emjl+M3Rkxm/tn7Kw6zvIioiIiIio+HL/xlWpVG99xwRX7kjr/Bnmy5erEBEREVGlwxeqEBERERERaQEWd0RERERERFqAt2WS1mkUsrdQz9wVFZ/RIyIiIqL/Mq7cERERERERaQEWdxXQ6tWrYW1tDR0dHSxbtgyhoaFwd3d/53k8e/YMPXr0gJmZGQRBwKNHj/Jts7GxwbJly955fkRERERElQmLuzIUGBgIQRAgCAL09fVha2uLyZMn4+nTp8WOqVarMXr0aEybNg3/+9//MHz4cEyePBkHDhwoUpxVq1bBzc0NJiYmMDc3h4eHBxYtWlSkGDExMTh8+DDi4+ORlpYGhUKRb9upU6cwfPjwIsUmIiIiIqKi4TN3ZaxTp06IiopCZmYmDh8+jKFDh+Lp06f4+uuvNfplZmZCX1//rfFSU1ORmZmJrl27wsrKSmqXy+WFzmndunWYOHEiVqxYgdatWyMjIwMXLlzA5cuXC39hAJKTk9GwYUM0atSowDYLC4sixSUiIiIioqLjyl0Zk8lkUCqVsLa2Rr9+/RAQEIDY2FjpVsr169fD1tYWMpkMoihCpVJh+PDhsLS0hJmZGdq1a4fz588DAKKjo+Hi4gIAsLW1hSAISElJ0bgt88WLF3B2dtZYKbt58yYUCgXWrFkDANixYwd69eqFIUOGwM7ODs7Ozujbty/mzp0rndOmTRuMHz9e41r8/f0RGBgoHY+MjMQff/wBQRDQpk2bfNsAaNyWGRcXBwMDAxw+fFiKGxkZierVqyMtLa1Ic5uRkQG1Wq2xERERERFVVizu3jEjIyNkZmYCAK5fv47Nmzdj69atSEhIAAB07doVd+/exe7du3HmzBk0btwY7du3x4MHD9C7d2/89ttvAICTJ08iLS0N1tbWGvENDQ2xadMmxMTEIDY2FtnZ2RgwYADatm2LYcOGAQCUSiWOHz+OW7duFfs6tm3bhmHDhsHLywtpaWnYtm1bvm3/lls0DhgwACqVCufPn8eMGTOwZs0ajZXIwggPD4dCoZC2f88FEREREVFlwuLuHTp58iS+++47tG/fHgDw8uVLbNiwAR4eHnB1dcXBgwdx8eJFbNmyBZ6enmjQoAEWL14Mc3Nz/PTTTzAyMkK1atUAvLrVUalUQldXN8847u7umDdvHoYNG4YJEyYgOTkZa9eulY6HhITA3NwcNjY2cHBwQGBgIDZv3oycnJxCX0vVqlVhbGwMAwMDKJVKVK1aNd+2/MybNw9Vq1bF8OHDERAQgAEDBuDDDz8sylQCAIKDg6FSqaTt9u3bRY5BRERERKQtWNyVsZ07d0Iul8PQ0BBeXl5o1aoVvvjiCwBA3bp1NZ5HO3PmDJ48eYJq1apBLpdL282bN5GcnFykcSdNmgQHBwd88cUXiIqKQvXq1aVjVlZWOHbsGC5evIixY8ciMzMTgwYNQqdOnYpU4BWXgYEBNm7ciK1bt+L58+cab9LctGmTxrW/fvvmv8lkMpiZmWlsRERERESVFV+oUsbatm2Lr7/+Gvr6+qhZs6bGS1NMTEw0+ubk5MDKygpxcXF54pibmxdp3PT0dCQlJUFXVxfXrl1Dp06d8vRp1KgRGjVqhE8//RRHjhzB+++/j0OHDqFt27bQ0dGBKIoa/XNvJy0N8fHxAIAHDx7gwYMH0lx0794dzZs3l/rVqlWr1MYkIiIiItJmLO7KmImJCezs7ArVt3Hjxrh79y709PRgY2NTonGDgoLQqFEjDBs2DEOGDEH79u3h5OT0xv65x3I/02BhYaHxgpPs7Gz8+eefaNu2bYnyAl69UXPChAlYs2YNNm/ejIEDB+LAgQPQ0dGBqakpTE1NSzwGEREREVFlw9sy/0M6dOgALy8v+Pv7Y+/evUhJSUF8fDxmzpyJ06dPFzrOV199hWPHjuHbb79Fv3798PHHHyMgIAAvX74EAIwcORJz587F0aNHcevWLRw/fhwDBw6EhYUFvLy8AADt2rXDrl27sGvXLly5cgWjRo3Co0ePSnyNuS946dixIwYPHoyoqCj8+eefiIyMLHFsIiIiIqLKjMXdf4ggCNi9ezdatWqFoKAg2Nvbo0+fPkhJSUGNGjUKFePKlSuYMmUKVq5cKb098quvvsKjR48wa9YsAK+KyOPHj6Nnz56wt7dHjx49YGhoiAMHDkgvbAkKCsKgQYMwcOBAtG7dGvXq1SuVVbv58+cjJSUFq1evBvDqzZ1r167FzJkzpTeGEhERERFR0Qnivx+sIqqg1Go1FAoFVCoVX65CRERERFqhKH/jcuWOiIiIiIhIC7C4IyIiIiIi0gIs7oiIiIiIiLQAizsiIiIiIiItwOLuPy4lJQWCIEhvkoyLi4MgCKXyWYKiKs+xiYiIiIioYCzuSlFgYCAEQYAgCNDT00OdOnUwcuRIPHz4sNTGaNGiBdLS0qBQKEotZn7atGmD8ePHv9OxAwMD8dlnn0n7z58/h7GxMa5cuVIm4xERERERaRMWd6WsU6dOSEtLQ0pKCtauXYsdO3Zg1KhRpRbfwMAASqUSgiDkezw7Oxs5OTmlNl5Rxi6JnJwc7Nq1C35+flLb/v37YW1tDUdHx1Ifj4iIiIhI27C4K2UymQxKpRK1a9dGx44d0bt3b+zbt086HhUVhYYNG8LQ0BCOjo5YuXKlxvknT56Eh4cHDA0N4enpiXPnzmkc//etkdHR0TA3N8fOnTvh5OQEmUyGW7du4eXLl5g6dSpq1aoFExMTNG/eHHFxcRqxjh49itatW8PY2BhVqlSBr68vHj58iMDAQBw6dAjLly+XViJTUlLeOPbevXvRsGFDyOVyqbjNlZWVhbFjx8Lc3BzVqlXDtGnTMGjQIPj7++fJRUdHB82bN5fafvnlF3Tv3r2Y/xJERERERJULi7sydOPGDezZswf6+voAgDVr1mDGjBmYP38+EhMTsWDBAsyaNQsxMTEAgKdPn6Jbt25wcHDAmTNnEBoaismTJ791nGfPniE8PBxr167FpUuXYGlpicGDB+Po0aP44YcfcOHCBfTs2ROdOnXCtWvXAAAJCQlo3749nJ2dcezYMRw5cgQffPABsrOzsXz5cnh5eWHYsGFIS0tDWloarK2t3zj24sWLsWHDBvzxxx9ITU3VyHnRokXYtGkToqKicPToUajVasTGxuaJs337dnzwwQfQ0Xn1K5mTk4OdO3dqrOT9W0ZGBtRqtcZGRERERFRpiVRqBg0aJOrq6oomJiaioaGhCEAEIC5ZskQURVG0trYWv/vuO41z5s6dK3p5eYmiKIqrVq0Sq1atKj59+lQ6/vXXX4sAxHPnzomiKIoHDx4UAYgPHz4URVEUo6KiRABiQkKCdM7169dFQRDE//3vfxpjtW/fXgwODhZFURT79u0rent7v/FaWrduLY4bN06j7U1jX79+Xerz1VdfiTVq1JD2a9SoIX7++efSflZWllinTh3Rz89PI7a9vb24fft2af/o0aNi9erVxezs7DfmGBISIs3x65tKpXrjOUREREREFYlKpSr037h65VJRarG2bdvi66+/xrNnz7B27VpcvXoVY8aMwd9//43bt29jyJAhGDZsmNQ/KytLekFJYmIi3NzcYGxsLB338vJ665gGBgZwdXWV9s+ePQtRFGFvb6/RLyMjA9WqVQPwauWuZ8+eJbpWADA2Nkb9+vWlfSsrK6SnpwMAVCoV7t27h2bNmknHdXV10aRJE43nAhMTE3Hnzh106NBBavvll1/QrVs3aSUvP8HBwZg4caK0r1ar37jCSERERESk7VjclTITExPY2dkBAFasWIG2bdsiLCwMo0ePBvDq1szXnysDXhU8ACCKYrHGNDIy0njJSU5ODnR1dXHmzBkpdi65XC6dUxpybznNJQhCnuv49wtY/n18+/bt8PHx0chp+/btCA8PL3BsmUwGmUxWnLSJiIiIiLQOn7krYyEhIVi8eDGys7NRq1Yt3LhxA3Z2dhpbvXr1AABOTk44f/48nj9/Lp1//PjxIo/p4eGB7OxspKen5xlLqVQCAFxdXXHgwIE3xjAwMEB2dnaRx36dQqFAjRo1cPLkSaktOzs7z0ti/v3ilGvXriElJQUdO3Ys0fhERERERJUJi7sy1qZNGzg7O2PBggUIDQ1FeHg4li9fjqtXr+LixYuIiorCkiVLAAD9+vWDjo4OhgwZgsuXL2P37t1YvHhxkce0t7dHQEAABg4ciG3btuHmzZs4deoUFi1ahN27dwN4dUvjqVOnMGrUKFy4cAFXrlzB119/jX/++QcAYGNjgxMnTiAlJQX//PNPsT+vMGbMGISHh+OXX35BUlISxo0bh4cPH0qreenp6Th16hS6desmnfPLL7+gQ4cOGrenEhERERFRwVjcvQMTJ07EmjVr4Ovri7Vr1yI6OhouLi5o3bo1oqOjpZU7uVyOHTt24PLly/Dw8MCMGTOwaNGiYo0ZFRWFgQMHYtKkSXBwcED37t1x4sQJ6Zk0e3t77Nu3D+fPn0ezZs3g5eWFX375BXp6r+7UnTx5MnR1deHk5AQLCwukpqYWK49p06ahb9++GDhwILy8vCCXy+Hr6wtDQ0MAwI4dO9C8eXNYWlpK5/zyyy8FviWTiIiIiIjyEsTiPuhFVAw5OTlo2LAhevXqhblz56J79+5o2bIlpk6dCgD4559/YGVlhdu3b0u3kBaWWq2GQqGASqWCmZlZWaRPRERERPROFeVvXL5QhcrUrVu3sG/fPrRu3RoZGRn48ssvcfPmTfTr1w8A0LJlS/Tt21fq/+DBAyxZsqTIhR0RERERUWXHlTsqU7dv30afPn3w559/QhRFNGrUCAsXLkSrVq1KfSyu3BERERGRtuHKHf1nWFtb4+jRo+WdBhERERGR1uMLVYiIiIiIiLQAizt6o7i4OAiCgEePHpUojo2NDZYtW1YqORERERERUf5Y3FUQ6enp+OSTT1CnTh3IZDIolUr4+vri2LFj5Z1asT18+BDz5s1Ds2bNYGlpibp166Jbt2746aefyjs1IiIiIqIKh8/cVRA9evRAZmYmYmJiYGtri3v37uHAgQN48OBBeadWLAcOHECfPn3QrFkzTJo0Cfb29sjOzsapU6cQEhKCdevWYdu2bTAyMirvVImIiIiIKgSu3FUAjx49wpEjR7Bo0SK0bdsWdevWRbNmzRAcHIyuXbsiKCgI3bp10zgnKysLSqUS69evBwC0adMGY8aMwfjx41GlShXUqFEDq1evxtOnTzF48GCYmpqifv36+PXXX/OMf/ToUbi5ucHQ0BDNmzfHxYsXNY5v3boVzs7OkMlksLGxQWRkZIHXc+7cOfTu3Rvr16/Hrl270Lt3b3h4eMDT0xMjR47E+fPnYWVlhcGDB5dw5oiIiIiIKg8WdxWAXC6HXC5HbGwsMjIy8hwfOnQo9uzZg7S0NKlt9+7dePLkCXr16iW1xcTEoHr16jh58iTGjBmDkSNHomfPnmjRogXOnj0LX19fDBgwAM+ePdOIP2XKFCxevBinTp2CpaUlunfvjszMTADAmTNn0KtXL/Tp0wcXL15EaGgoZs2ahejo6Ddez+jRozFv3jx88MEHuHLlCtq3bw9LS0t07doV8+fPx+jRo/HNN9/gzJkzOH78+BvjZGRkQK1Wa2xERERERJUVi7sKQE9PD9HR0YiJiYG5uTm8vb0xffp0XLhwAQDQokULODg4YMOGDdI5UVFR6NmzJ+RyudTm5uaGmTNnokGDBggODoaRkRGqV6+OYcOGoUGDBpg9ezbu378vxc0VEhICHx8fuLi4ICYmBvfu3cPPP/8MAFiyZAnat2+PWbNmwd7eHoGBgRg9ejQ+//zzfK/l+vXruHHjBoYOHYrs7Gx8+OGHqFu3Lvbu3YtevXohPDwcL168gIGBAfr06YPY2Ng3zkt4eDgUCoW0WVtbF3eKiYiIiIgqPBZ3FUSPHj3w119/Yfv27fD19UVcXBwaN24srZANHToUUVFRAF69fGXXrl0ICgrSiOHq6ir9rKuri2rVqsHFxUVqq1GjhnT+67y8vKSfq1atCgcHByQmJgIAEhMT4e3trdHf29sb165dQ3Z2dp7ruHDhApo2bQo9PT0kJSUhNTUVq1atgoeHBwYNGoQ+ffpIfa2srPDw4cM3zklwcDBUKpW03b59+419iYiIiIi0HYu7CsTQ0BA+Pj6YPXs24uPjERgYiJCQEADAwIEDcePGDRw7dgwbN26EjY0N3n//fY3z9fX1NfYFQdBoEwQBAJCTk/PWXHL7iqIo/ZxLFMU3npeVlQVDQ0MAwMuXL2FgYKCRw+srjefPn0f9+vXfGEsmk8HMzExjIyIiIiKqrFjcVWBOTk54+vQpAKBatWrw9/dHVFQUoqKiSvVlJK8/9/bw4UNcvXoVjo6OUg5HjhzR6B8fHw97e3vo6urmiWVnZyfd9uno6AgDAwMsW7YM2dnZuHTpEn744Qfk5ORgy5Yt2LlzJwYNGlRq10FEREREpM34KYQK4P79++jZsyeCgoLg6uoKU1NTnD59GhEREfDz85P6DR06FN26dUN2dnapFkVz5sxBtWrVUKNGDcyYMQPVq1eHv78/AGDSpElo2rQp5s6di969e+PYsWP48ssvsXLlynxjeXh4ICMjA/v374ePjw82bNiAgIAATJ48GTVr1oS/vz9Wr16N69evY9euXdKtokREREREVDAWdxWAXC5H8+bNsXTpUiQnJyMzMxPW1tYYNmwYpk+fLvXr0KEDrKys4OzsjJo1a5ba+AsXLsS4ceNw7do1uLm5Yfv27TAwMAAANG7cGJs3b8bs2bMxd+5cWFlZYc6cOQgMDMw3liAIiIiIwODBg/HHH3+gY8eOuHfvHtLS0qBUKvH8+XMsWrQICoWi1PInIiIiIqoMBLGgB6SoQnn27Blq1qyJ9evX46OPPirvdAq0aNEiREREYNq0aejTpw/q1KmDzMxMxMfHIzw8HB9//DGGDh1apJhqtRoKhQIqlYrP3xERERGRVijK37h85k4L5OTk4K+//sKsWbOgUCjQvXv38k7praZNm4bt27fj4MGDaNCgAQwMDCCTyfDJJ5+gS5cu/IA5EREREVER8bZMLZCamop69eqhdu3aiI6Ohp5exfhn9fb2xq+//oqXL18iPT0dJiYmqFKlSnmnRURERERUIVWMKoAKZGNjU+DnB/7rDAwMULt27fJOg4iIiIioQuNtmURERERERFqAxR0REREREZEWYHGnRQRBQGxsbHmnQURERERE5YDFXQWSnp6OTz75BHXq1IFMJoNSqYSvry+OHTtW5mPnVziGhobC3d09T99Hjx5BEATExcUBAFJSUiAIgrQpFAq899572LFjh8Z50dHRMDc3L5sLICIiIiLScnyhSgXSo0cPZGZmIiYmBra2trh37x4OHDiABw8elNmYL1++lD5YXlK//fYbnJ2d8ejRI6xcuRI9evTA2bNn0ahRo1KJT0RERERUmXHlroJ49OgRjhw5gkWLFqFt27aoW7cumjVrhuDgYHTt2lXq988//+DDDz+EsbExGjRogO3bt2vEOXToEJo1awaZTAYrKyt89tlnyMrKko63adMGo0ePxsSJE1G9enX4+PjAxsYGAPDhhx9CEARpv6iqVasGpVIJR0dHzJ8/H5mZmTh48GCxYhERERERkSYWdxWEXC6HXC5HbGwsMjIy3tgvLCwMvXr1woULF9ClSxcEBARIK3v/+9//0KVLFzRt2hTnz5/H119/jXXr1mHevHkaMWJiYqCnp4ejR49i1apVOHXqFAAgKioKaWlp0n5xZWZmYs2aNQAAfX39YsfJyMiAWq3W2IiIiIiIKisWdxWEnp4eoqOjERMTA3Nzc3h7e2P69Om4cOGCRr/AwED07dsXdnZ2WLBgAZ4+fYqTJ08CAFauXAlra2t8+eWXcHR0hL+/P8LCwhAZGYmcnBwphp2dHSIiIuDg4ABHR0dYWFgAAMzNzaFUKqX9omrRogXkcjkMDQ0xadIk2NjYoFevXsWcESA8PBwKhULarK2tix2LiIiIiKiiY3FXgfTo0QN//fUXtm/fDl9fX8TFxaFx48aIjo6W+ri6uko/m5iYwNTUFOnp6QCAxMREeHl5QRAEqY+3tzeePHmCO3fuSG2enp5lkv+PP/6Ic+fOYfv27bCzs8PatWtRtWrVYscLDg6GSqWSttu3b5ditkREREREFQtfqFLBGBoawsfHBz4+Ppg9ezaGDh2KkJAQBAYGAsh7m6MgCNKqnCiKGoVdbltuv1wmJiaFysXMzAwqlSpP+6NHjwAACoVCo93a2hoNGjRAgwYNIJfL0aNHD1y+fBmWlpaFGu/fZDIZZDJZsc4lIiIiItI2XLmr4JycnPD06dNC942Pj5cKOgCIj4+HqakpatWqVeC5+vr6yM7O1mhzdHTEnTt3cPfuXY32U6dOQUdHB3Z2dm+M17p1azRq1Ajz588vVO5ERERERFQwFncVxP3799GuXTts3LgRFy5cwM2bN7FlyxZERETAz8+vUDFGjRqF27dvY8yYMbhy5Qp++eUXhISEYOLEidDRKfhXwcbGBgcOHMDdu3fx8OFDAEDHjh3RsGFD9OnTB0ePHsXNmzfxyy+/YPLkyRgxYgRMTU0LjDlp0iSsWrUK//vf/6S27OxsJCQkaGyXL18u1PUREREREVVmvC2zgpDL5WjevDmWLl2K5ORkZGZmwtraGsOGDcP06dMLFaNWrVrYvXs3pkyZAjc3N1StWhVDhgzBzJkz33puZGQkJk6ciDVr1qBWrVpISUmBnp4e9u3bh+nTpyMgIADp6emoW7cuhg4diqlTp741Zrdu3WBjY4P58+dj5cqVAIAnT57Aw8NDo1/dunWRkpJSqGskIiIiIqqsBPH1e/SIKjC1Wg2FQgGVSgUzM7PyToeIiIiIqMSK8jcub8skIiIiIiLSAizuiIiIiIiItACLOyIiIiIiIi3AF6qQ1mkUshc6MmMAQMrCruWcDRERERHRu8GVOyIiIiIiIi3A4q6CCgwMhL+/f7mNn5KSAkEQkJCQkOeYv78/AgMDpf02bdpAEAQIggADAwPUr18fwcHByMjI0DhPEATExsaWbeJERERERFqKt2XSOzFs2DDMmTMHL1++xKlTpzB48GAAQHh4eDlnRkRERESkHbhyp4UOHTqEZs2aQSaTwcrKCp999hmysrKk423atMHYsWMxdepUVK1aFUqlEqGhoRoxrly5gpYtW8LQ0BBOTk747bffSrSyZmxsDKVSiTp16qBHjx7w8fHBvn37SnCVRERERET0OhZ3WuZ///sfunTpgqZNm+L8+fP4+uuvsW7dOsybN0+jX0xMDExMTHDixAlERERgzpw52L9/PwAgJycH/v7+MDY2xokTJ7B69WrMmDGj1HI8f/48jh49Cn19/RLFycjIgFqt1tiIiIiIiCorFndaZuXKlbC2tsaXX34JR0dH+Pv7IywsDJGRkcjJyZH6ubq6IiQkBA0aNMDAgQPh6emJAwcOAAD27duH5ORkfPvtt3Bzc0PLli0xf/78Eucll8shk8ng7u6Ov//+G1OmTClRzPDwcCgUCmmztrYuUTwiIiIiooqMxZ2WSUxMhJeXFwRBkNq8vb3x5MkT3LlzR2pzdXXVOM/Kygrp6ekAgKSkJFhbW0OpVErHmzVrVqK8AgICkJCQgGPHjqFXr14ICgpCjx49ShQzODgYKpVK2m7fvl2ieEREREREFRlfqKJlRFHUKOxy2wBotP/7lkhBEKSVvfxi/JtCoQAAqFSqPMcePXqEunXr5ulvZ2cHANi4cSOcnZ2xbt06DBkypDCXlS+ZTAaZTFbs84mIiIiItAlX7rSMk5MT4uPjpYIOAOLj42FqaopatWoVKoajoyNSU1Nx7949qe3UqVMafapUqQILC4s87c+fP8elS5fg4ODwxvj6+vqYPn06Zs6ciWfPnhUqJyIiIiIiKhiLuwpMpVIhISFBYxs+fDhu376NMWPG4MqVK/jll18QEhKCiRMnQkencP/cPj4+qF+/PgYNGoQLFy7g6NGj0gtVXl/Rmzx5MhYsWIANGzYgOTkZp0+fxsCBA6Gnp4f+/fsXOEa/fv0gCAJWrlyp0X7z5s081/TkyZMizgwRERERUeXD2zIrsLi4OHh4eGi0DRo0CLt378aUKVPg5uaGqlWrYsiQIZg5c2ah4+rq6iI2NhZDhw5F06ZNYWtri88//xwffPABDA0NpX6TJ0+GXC7H4sWLkZycDHNzc7z33ns4fPgwzMzMChzDwMAAo0ePRkREBEaMGAG5XA4AmDhxYp6+Bw8eRJs2bQqdPxERERFRZSSIr9+/R/QGR48eRcuWLXH9+nXUr1+/vNPJl1qtfvXWzPGboSMzBgCkLOxazlkRERERERVf7t+4KpXqrQsoXLmjfP3888+Qy+Vo0KABrl+/jnHjxsHb2/s/W9i97s8w37f+4hMRERERaRsWd5Svx48fY+rUqbh9+zaqV6+ODh06IDIysrzTIiIiIiKiN+BtmaQ1irJkTURERERUERTlb1y+LZO0TqOQveWdAhERERHRO8fijoiIiIiISAuwuKMCRUdHw9zcvLzTICIiIiKit2Bxp+XatGmD8ePH52mPjY3V+CD5m/Tu3RtXr14t87zatGkDQRAgCAJkMhns7e2xYMECZGdnl/rYRERERETaiMUdFcjIyAiWlpbvZKxhw4YhLS0NSUlJGDt2LGbOnInFixe/k7GJiIiIiCo6FneE8+fPo23btjA1NYWZmRmaNGmC06dPA8h7W2ZoaCjc3d2xYcMG2NjYQKFQoE+fPnj8+LHU5/HjxwgICICJiQmsrKywdOnSN64gvs7Y2BhKpRI2NjYYPXo02rdvj9jY2DK4YiIiIiIi7cPijhAQEIDatWvj1KlTOHPmDD777DPo6+u/sX9ycjJiY2Oxc+dO7Ny5E4cOHcLChQul4xMnTsTRo0exfft27N+/H4cPH8bZs2eLnJeRkREyMzPfeDwjIwNqtVpjIyIiIiKqrPgRc0JqaiqmTJkCR0dHAECDBg0K7J+Tk4Po6GiYmpoCAAYMGIADBw5g/vz5ePz4MWJiYvDdd9+hffv2AICoqCjUrFmz0Pnk5ORg37592Lt3b4GrfeHh4QgLCyt0XCIiIiIibcaVO8LEiRMxdOhQdOjQAQsXLkRycnKB/W1sbKTCDgCsrKyQnp4OALhx4wYyMzPRrFkz6bhCoYCDg8Nb81i5ciXkcjkMDQ3RvXt39O/fHyEhIW/sHxwcDJVKJW23b99+6xhERERERNqKxZ2WMzMzg0qlytP+6NEj6Qv3oaGhuHTpErp27Yrff/8dTk5O+Pnnn98Y89+3bAqCgJycHACAKIpS2+ty2wsSEBCAhIQEJCcn4/nz51i3bh2MjY3f2F8mk8HMzExjIyIiIiKqrFjcaTlHR0fp5SivO3XqlMZqmr29PSZMmIB9+/bho48+QlRUVLHGq1+/PvT19XHy5EmpTa1W49q1a289V6FQwM7ODtbW1tDV1S3W+ERERERElRWLOy03atQoJCcn49NPP8X58+dx9epVfPXVV1i3bh2mTJmC58+fY/To0YiLi8OtW7dw9OhRnDp1Cg0bNizWeKamphg0aBCmTJmCgwcP4tKlSwgKCoKOjk6hvqtHRERERETFwxeqaDkbGxscPnwYM2bMQMeOHfHixQvY29sjOjoaPXv2xMuXL3H//n0MHDgQ9+7dQ/Xq1fHRRx+V6EUlS5YswYgRI9CtWzeYmZlh6tSpuH37NgwNDUvxyoiIiIiI6HWCWJiHoYhK4OnTp6hVqxYiIyMxZMiQMhtHrVZDoVBApVLx+TsiIiIi0gpF+RuXK3dU6s6dO4crV66gWbNmUKlUmDNnDgDAz8+vnDMjIiIiItJeLO6oTCxevBhJSUkwMDBAkyZNcPjwYVSvXr280yIiIiIi0los7qjUeXh44MyZM+WdBhERERFRpcK3ZRIREREREWkBFndERERERERagMUdERERERGRFmBxR0REREREpAVY3BEREREREWkBFndERERERERagMUdERERERGRFmBxR0REREREpAVY3BEREREREWkBFndERERERERagMUdERERERGRFmBxR0REREREpAVY3BEREREREWkBFndERERERERagMUdERERERGRFmBxR0REREREpAVY3BEREREREWkBFndERERERERagMUdERERERGRFmBxR0REREREpAX0yjsBotIiiiIAQK1Wl3MmRERERESlI/dv29y/dQvC4o60xv379wEA1tbW5ZwJEREREVHpevz4MRQKRYF9WNyR1qhatSoAIDU19a2/+FS61Go1rK2tcfv2bZiZmZV3OpUK5758cf7LD+e+/HDuyxfnv/yU19yLoojHjx+jZs2ab+3L4o60ho7Oq0dIFQoF/2NXTszMzDj35YRzX744/+WHc19+OPfli/Nffspj7gu7cMEXqhAREREREWkBFndERERERERagMUdaQ2ZTIaQkBDIZLLyTqXS4dyXH859+eL8lx/Offnh3Jcvzn/5qQhzL4iFeacmERERERER/adx5Y6IiIiIiEgLsLgjIiIiIiLSAizuiIiIiIiItACLOyIiIiIiIi3A4o4qjJUrV6JevXowNDREkyZNcPjw4QL7Hzp0CE2aNIGhoSFsbW3xzTffvKNMtVNR5j8tLQ39+vWDg4MDdHR0MH78+HeXqBYqytxv27YNPj4+sLCwgJmZGby8vLB37953mK32Kcr8HzlyBN7e3qhWrRqMjIzg6OiIpUuXvsNstUtR/7uf6+jRo9DT04O7u3vZJqjFijL3cXFxEAQhz3blypV3mLF2KervfkZGBmbMmIG6detCJpOhfv36WL9+/TvKVrsUZe4DAwPz/d13dnZ+hxn/i0hUAfzwww+ivr6+uGbNGvHy5cviuHHjRBMTE/HWrVv59r9x44ZobGwsjhs3Trx8+bK4Zs0aUV9fX/zpp5/ecebaoajzf/PmTXHs2LFiTEyM6O7uLo4bN+7dJqxFijr348aNExctWiSePHlSvHr1qhgcHCzq6+uLZ8+efceZa4eizv/Zs2fF7777Tvzzzz/Fmzdvihs2bBCNjY3FVatWvePMK76izn2uR48eiba2tmLHjh1FNze3d5Oslinq3B88eFAEICYlJYlpaWnSlpWV9Y4z1w7F+d3v3r272Lx5c3H//v3izZs3xRMnTohHjx59h1lrh6LO/aNHjzR+52/fvi1WrVpVDAkJebeJv4bFHVUIzZo1E0eMGKHR5ujoKH722Wf59p86daro6Oio0fbJJ5+I7733XpnlqM2KOv+va926NYu7EijJ3OdycnISw8LCSju1SqE05v/DDz8U+/fvX9qpab3izn3v3r3FmTNniiEhISzuiqmoc59b3D18+PAdZKf9ijr/v/76q6hQKMT79++/i/S0Wkn/m//zzz+LgiCIKSkpZZFeofC2TPrPe/nyJc6cOYOOHTtqtHfs2BHx8fH5nnPs2LE8/X19fXH69GlkZmaWWa7aqDjzT6WjNOY+JycHjx8/RtWqVcsiRa1WGvN/7tw5xMfHo3Xr1mWRotYq7txHRUUhOTkZISEhZZ2i1irJ772HhwesrKzQvn17HDx4sCzT1FrFmf/t27fD09MTERERqFWrFuzt7TF58mQ8f/78XaSsNUrjv/nr1q1Dhw4dULdu3bJIsVD0ym1kokL6559/kJ2djRo1ami016hRA3fv3s33nLt37+bbPysrC//88w+srKzKLF9tU5z5p9JRGnMfGRmJp0+folevXmWRolYryfzXrl0bf//9N7KyshAaGoqhQ4eWZapapzhzf+3aNXz22Wc4fPgw9PT4501xFWfurayssHr1ajRp0gQZGRnYsGED2rdvj7i4OLRq1epdpK01ijP/N27cwJEjR2BoaIiff/4Z//zzD0aNGoUHDx7wubsiKOn/z01LS8Ovv/6K7777rqxSLBT+148qDEEQNPZFUczT9rb++bVT4RR1/qn0FHfuv//+e4SGhuKXX36BpaVlWaWn9Yoz/4cPH8aTJ09w/PhxfPbZZ7Czs0Pfvn3LMk2tVNi5z87ORr9+/RAWFgZ7e/t3lZ5WK8rvvYODAxwcHKR9Ly8v3L59G4sXL2ZxV0xFmf+cnBwIgoBNmzZBoVAAAJYsWYKPP/4YX331FYyMjMo8X21S3P+fGx0dDXNzc/j7+5dRZoXD4o7+86pXrw5dXd08/6tJenp6nv91JZdSqcy3v56eHqpVq1ZmuWqj4sw/lY6SzP2PP/6IIUOGYMuWLejQoUNZpqm1SjL/9erVAwC4uLjg3r17CA0NZXFXBEWd+8ePH+P06dM4d+4cRo8eDeDVH7yiKEJPTw/79u1Du3bt3knuFV1p/Tf/vffew8aNG0s7Pa1XnPm3srJCrVq1pMIOABo2bAhRFHHnzh00aNCgTHPWFiX53RdFEevXr8eAAQNgYGBQlmm+FZ+5o/88AwMDNGnSBPv379do379/P1q0aJHvOV5eXnn679u3D56entDX1y+zXLVRceafSkdx5/77779HYGAgvvvuO3Tt2rWs09RapfW7L4oiMjIySjs9rVbUuTczM8PFixeRkJAgbSNGjICDgwMSEhLQvHnzd5V6hVdav/fnzp3jIxDFUJz59/b2/n/t3X1MleX/B/D34fFwIB4jJGCHpBQSJNAQEAMqhzEZrkFNMrGBDZwVOJtU08EwnTrwEUGUztks55igBm7MQmBDtIXDUjiDhAxXbFKDlBjKw+f3Rz/OtyMPcXyAL+f7fm33xn1d133dn+uzs7N9uM+5Dn777Tf09fXp29ra2mBmZgZPT88nGq8peZTXfl1dHW7cuIGUlJQnGeLUzMg2LkRGGt2atqSkRFpaWiQjI0NsbW31uxFlZWXJu+++qx8/+lMImZmZ0tLSIiUlJfwphEdgbP5FRJqamqSpqUkWLVokSUlJ0tTUJM3NzTMR/qxmbO5PnDghFhYWUlBQYLA9c29v70wtYVYzNv+HDh2Sr7/+Wtra2qStrU2++OILsbe3l88++2ymljBrPcz7zj9xt8yHZ2zu9+7dK6dPn5a2tja5fv26ZGVlCQApKyubqSXMasbm/+7du+Lp6SkJCQnS3NwsdXV18sILuokI4QAACp1JREFUL0hqaupMLWHWetj3nTVr1siSJUumO9xxsbijWaOgoEDUarVYWVlJcHCw1NXV6fuSk5MlMjLSYHxtba0EBQWJlZWVeHt7S2Fh4TRHbFqMzT+AMYdarZ7eoE2EMbmPjIwcN/fJycnTH7iJMCb/Bw4ckAULFohKpRJ7e3sJCgqSw4cPy/Dw8AxEPvsZ+77zTyzuHo0xud+1a5f4+PiIUqkUJycniYiIkHPnzs1A1KbD2Ne+TqeT119/XWxsbMTT01M2bdok/f390xy1aTA29729vWJjYyPFxcXTHOn4FCL/v8sEERERERERzVr8zh0REREREZEJYHFHRERERERkAljcERERERERmQAWd0RERERERCaAxR0REREREZEJYHFHRERERERkAljcERERERERmQAWd0RERERERCaAxR0RERHpRUVFISMjY6bDICKih8DijoiIaIrWrVsHhUIx5rhx48ZjmV+r1cLR0fGxzPWwysvLkZubO6MxTKa2thYKhQK9vb0zHQoR0X8di5kOgIiIaDZZsWIFNBqNQZurq+sMRTOxwcFBWFpaGn2ds7PzE4jm8RgcHJzpEIiI/qvxyR0REZERrK2tMWfOHIPD3NwcAFBRUYFFixZBqVRi7ty5yMnJwdDQkP7a/Px8BAQEwNbWFl5eXtiwYQP6+voA/P1E6r333sOff/6pfyKYnZ0NAFAoFDhz5oxBHI6OjtBqtQCAmzdvQqFQoLS0FFFRUVAqlfjyyy8BABqNBn5+flAqlfD19cXhw4cnXd+DH8v09vbG9u3bsXbtWtjZ2UGtVuPs2bPo7u5GfHw87OzsEBAQgMbGRv01o08gz5w5g3nz5kGpVGL58uW4deuWwb0KCwvh4+MDKysrzJ8/H8ePHzfoVygUKCoqQnx8PGxtbZGamoro6GgAgJOTExQKBdatWwcAqKqqQkREBBwdHeHi4oKVK1eivb1dP9dojsrLyxEdHQ2VSoXAwEBcunTJ4J4XL15EZGQkVCoVnJycEBMTg56eHgCAiGD37t2YO3cubGxsEBgYiFOnTk2aTyKiaSVEREQ0JcnJyRIfHz9uX1VVldjb24tWq5X29nY5f/68eHt7S3Z2tn7M3r175cKFC9LR0SHV1dUyf/58SU9PFxGRe/fuyb59+8Te3l66urqkq6tL7t69KyIiAOT06dMG93NwcBCNRiMiIj///LMAEG9vbykrK5OOjg759ddfpbi4WNzd3fVtZWVl4uzsLFqtdsI1RkZGykcffaQ/V6vV4uzsLEVFRdLW1ibp6eny1FNPyYoVK6S0tFRaW1tl1apV4ufnJyMjIyIiotFoxNLSUhYvXiwNDQ3S2NgoISEhEh4erp+3vLxcLC0tpaCgQFpbWyUvL0/Mzc3lwoUL+jEA5JlnnpGSkhJpb2+XmzdvSllZmQCQ1tZW6erqkt7eXhEROXXqlJSVlUlbW5s0NTVJXFycBAQEyPDwsEGOfH19pbKyUlpbWyUhIUHUarUMDg6KiEhTU5NYW1tLenq6XL16Va5fvy4HDx6U7u5uERH59NNPxdfXV6qqqqS9vV00Go1YW1tLbW3thPkkIppOLO6IiIimKDk5WczNzcXW1lZ/JCQkiIjIsmXLZMeOHQbjjx8/Lu7u7hPOV1paKi4uLvpzjUYjDg4OY8ZNtbjbt2+fwRgvLy85ceKEQVtubq6EhYVNGNN4xd2aNWv0511dXQJAtm7dqm+7dOmSAJCuri79OgDI5cuX9WN0Op0AkO+++05ERMLDw2X9+vUG905MTJTY2FiDdWdkZBiMqampEQDS09Mz4RpERG7fvi0A5Nq1ayLynxwdO3ZMP6a5uVkAiE6nExGR1atXy9KlS8edr6+vT5RKpTQ0NBi0p6SkyOrVqyeNhYhouvA7d0REREaIjo5GYWGh/tzW1hYAcOXKFXz//ff4/PPP9X3Dw8MYGBhAf38/VCoVampqsGPHDrS0tODOnTsYGhrCwMAA/vrrL/08j2Lx4sX6v7u7u3Hr1i2kpKRg/fr1+vahoSE4ODgYNe/ChQv1f7u5uQEAAgICxrTdvn0bc+bMAQBYWFgYxOPr6wtHR0fodDqEhIRAp9Ph/fffN7jP0qVLsX///gnXNJn29nZs3boVly9fxu+//46RkREAQGdnJ/z9/cddi7u7uz5uX19fXL16FYmJiePO39LSgoGBASxfvtyg/f79+wgKCppSjERETxqLOyIiIiPY2tri+eefH9M+MjKCnJwcvPnmm2P6lEolfvnlF8TGxiItLQ25ublwdnZGfX09UlJS/nWjEIVCARExaBvvmn8WiKPFzdGjR7FkyRKDcaPfEZyqf27MolAoJmwbveeD7RO1PdgvImPaplr0xsXFwcvLC0ePHsWzzz6LkZER+Pv74/79+/+6ltG4bWxsJpx/dMy5c+fg4eFh0GdtbT2lGImInjQWd0RERI9BcHAwWltbxy38AKCxsRFDQ0PIy8uDmdnf+5mVlpYajLGyssLw8PCYa11dXdHV1aU//+mnn9Df3z9pPG5ubvDw8EBHRwfeeecdY5fzyIaGhtDY2IiQkBAAQGtrK3p7e+Hr6wsA8PPzQ319PdauXau/pqGhAX5+fpPOa2VlBQAGefrjjz+g0+lw5MgRLFu2DABQX19vdMwLFy5EdXU1cnJyxvS9+OKLsLa2RmdnJyIjI42em4hoOrC4IyIiegy2bduGlStXwsvLC4mJiTAzM8OPP/6Ia9euYfv27fDx8cHQ0BAOHjyIuLg4XLx4EUVFRQZzeHt7o6+vD9XV1QgMDIRKpYJKpcKrr76KQ4cOITQ0FCMjI9iyZcuUfuYgOzsbH374Iezt7fHGG2/g3r17aGxsRE9PDzZt2vSkUgHg7ydkH3zwAQ4cOABLS0ts3LgRoaGh+mLv448/xltvvYXg4GC89tprqKioQHl5Ob799ttJ51Wr1VAoFKisrERsbCxsbGzg5OQEFxcXFBcXw93dHZ2dncjKyjI65k8++QQBAQHYsGED0tLSYGVlhZqaGiQmJuLpp5/G5s2bkZmZiZGREURERODOnTtoaGiAnZ0dkpOTHypPRESPE38KgYiI6DGIiYlBZWUlvvnmG7z88ssIDQ1Ffn4+1Go1AOCll15Cfn4+du3aBX9/f3z11VfYuXOnwRzh4eFIS0vD22+/DVdXV+zevRsAkJeXBy8vL7zyyitISkrC5s2boVKp/jWm1NRUHDt2DFqtFgEBAYiMjIRWq8Vzzz33+BPwAJVKhS1btiApKQlhYWGwsbHByZMn9f2rVq3C/v37sWfPHixYsABHjhyBRqNBVFTUpPN6eHggJycHWVlZcHNzw8aNG2FmZoaTJ0/iypUr8Pf3R2ZmJvbs2WN0zPPmzcP58+fxww8/ICQkBGFhYTh79iwsLP7+X3hubi62bduGnTt3ws/PDzExMaioqJiWfBIRTYVCHvwQPxEREdEj0Gq1yMjIQG9v70yHQkT0P4VP7oiIiIiIiEwAizsiIiIiIiITwI9lEhERERERmQA+uSMiIiIiIjIBLO6IiIiIiIhMAIs7IiIiIiIiE8DijoiIiIiIyASwuCMiIiIiIjIBLO6IiIiIiIhMAIs7IiIiIiIiE8DijoiIiIiIyAT8H8q5rH+/mkmjAAAAAElFTkSuQmCC",
+ "text/plain": [
+ "<Figure size 900x700 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "#checking the feature improtance in the model\n",
+ "plt.figure(figsize=(9,7))\n",
+ "n_features = X_train.shape[1]\n",
+ "plt.barh(range(n_features), gbc.feature_importances_, align='center')\n",
+ "plt.yticks(np.arange(n_features), X_train.columns)\n",
+ "plt.title(\"Feature importances using permutation on full model\")\n",
+ "plt.xlabel(\"Feature importance\")\n",
+ "plt.ylabel(\"Feature\")\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "3de8abdd",
+ "metadata": {},
+ "source": [
+ "## 7. Conclusion"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "a4d99f22",
+ "metadata": {},
+ "source": [
+ "1. The final take away form this project is to explore various machine learning models, perform Exploratory Data Analysis on phishing dataset and understanding their features. \n",
+ "2. Creating this notebook helped me to learn a lot about the features affecting the models to detect whether URL is safe or not, also I came to know how to tuned model and how they affect the model performance.\n",
+ "3. The final conclusion on the Phishing dataset is that the some feature like \"HTTTPS\", \"AnchorURL\", \"WebsiteTraffic\" have more importance to classify URL is phishing URL or not. \n",
+ "4. Gradient Boosting Classifier currectly classify URL upto 97.4% respective classes and hence reduces the chance of malicious attachments.\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "0b1dc910",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.11.5"
+ },
+ "vscode": {
+ "interpreter": {
+ "hash": "a4868653bb6f8972e87e4c446ab8a445a15b25dedb8594cc74c480f8152ea86a"
+ }
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
Index: templates/index.html
IDEA additional info:
Subsystem: com.intellij.openapi.diff.impl.patch.CharsetEP
<+>UTF-8
===================================================================
diff --git a/templates/index.html b/templates/index.html
new file mode 100644
--- /dev/null (date 1722952563328)
+++ b/templates/index.html (date 1722952563328)
@@ -0,0 +1,245 @@
+<!DOCTYPE html>
+<html>
+<head>
+ <title>SafeWeb</title>
+ <link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.2/dist/css/bootstrap.min.css" rel="stylesheet" integrity="sha384-T3c6CoIi6uLrA9TneNEoa7RxnatzjcDSCmG1MXxSR1GAsXEV/Dwwykc2MPK8M2HN" crossorigin="anonymous">
+ <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/bootstrap-icons@1.10.2/font/bootstrap-icons.css" integrity="sha384-b6lVK+yci+bfDmaY1u0zE8YYJt0TZxLEAFyYSLHId4xoVvsrQu3INevFKo+Xir8e" crossorigin="anonymous">
+ <script defer src="https://cdn.jsdelivr.net/npm/bootstrap@5.3.2/dist/js/bootstrap.bundle.min.js" integrity="sha384-C6RzsynM9kWDrMNeT87bh95OGNyZPhcTNXj1NW7RuBCsyN/o0jlpcV8Qyq46cDfL" crossorigin="anonymous"></script>
+ <link rel="stylesheet" type="text/css" href="styles.css">
+ <!-- Google fonts -->
+ <link rel="preconnect" href="https://fonts.googleapis.com">
+ <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
+ <link href="https://fonts.googleapis.com/css2?family=Cabin&family=Poppins:wght@100;300;400;500;600;700;800&display=swap" rel="stylesheet">
+ <!-- <link rel="stylesheet" type="text/css" href="styles.css"> -->
+ <link href="static/style.css" rel="stylesheet">
+
+</head>
+<body class=" vh-100 over home">
+
+<!-- Navbar -->
+<navbar-expand-lg class="navbar navbar-expand-lg navbar-dark bg-dark py-3 fixed-top">
+ <div class="container font-monospace">
+ <a href="index" class="navbar-brand text-warning">PhishDetect</a>
+ <!-- For smaller screens -->
+ <button
+ class="navbar-toggler"
+ type="button"
+ data-bs-toggle="collapse"
+ data-bs-target="#navmenu"
+ >
+ <span class="navbar-toggler-icon"></span>
+ </button>
+ <div class="collapse navbar-collapse" id="navmenu">
+ <ul class="navbar-nav ms-auto">
+ <li class="nav-item">
+ <a href="index" class="nav-link">Home</a>
+
+ </li>
+ <li class="nav-item">
+ <a href="#intro" class="nav-link">Introduction</a>
+ </li>
+ <li class="nav-item">
+ <a href="#types" class="nav-link">Types</a>
+ </li>
+ <li class="nav-item">
+ <a href="#precautions" class="nav-link">Precautions</a>
+ </li>
+ <li class="nav-item">
+ <a href="#about" class="nav-link">About</a>
+ </li>
+
+
+ </ul>
+ </div>
+ </div>
+</navbar-expand-lg>
+<!-- Navbar ends-->
+
+<!-- Home Section Starts -->
+<section class="bg-transparent text-light px-5 text-center">
+ <div class="container mt-5 p-5 ">
+
+ <div class="p-5">
+ <div class="font-monospace m-5 h1 size">Welcome to <span class="text-warning">PhishDetect</span>!</div>
+ <h3 class="font-monospace mt-5">This website helps you to detect and prevent Phishing websites by using ML Algorithm</h3>
+ <div class="m-5">
+ <a href="#intro">
+ <button class="btn btn-outline-light btn-lg m-5">Know more About <br> Phishing</button>
+ </a>
+ <a href="/error">
+ <button class="btn btn-outline-light btn-lg m-5">Check Phishing <br> websites using url</button>
+ </a>
+ </div>
+ </div>
+ </div>
+
+</section>
+<!-- Home Section Ends -->
+
+
+
+<!-- Introduction section start -->
+<section id="intro">
+ <div class="container mt-5 pt-5">
+ <h1 class="font-monospace text-center mt-5 pt-5">Introduction to Phishing</h1>
+ <div class="row align-items-center justify-content-between">
+ <div class="col-md">
+ <img src={{ url_for('static', filename='img/attack.jpg') }} class="img-fluid my-img" alt="">
+ </div>
+ <div class="col-md pt-5">
+ <h5 class="text-primary">What is Phishing</h5>
+ <h2>Making it count one detection at a time</h2>
+ <p class="lead">
+ Phishing is a cybercrime in which a target or targets are contacted by email, telephone or text message by someone posing as a legitimate institution to lure individuals into providing sensitive data such as personally identifiable information, banking and credit card details, and passwords.
+ </p>
+ <p>Sometimes attackers are satisfied with getting a victim's credit card information or other personal data for financial gain. Other times, phishing emails are sent to obtain employee login information or other details for use in an advanced attack against a specific company. Cybercrime attacks such as advanced persistent threats (APTs) and ransomware often start with phishing.
+ </p>
+ <a href="https://www.cisco.com/c/en_in/products/security/email-security/what-is-phishing.html" class="btn btn-light mt-3">
+ <i class="bi bi-chevron-right"></i> Read More
+ </a>
+
+ </div>
+ </div>
+ </div>
+</section>
+<!-- Introduction section end -->
+
+
+<!-- Types section start -->
+<section id="types" class="bg-dark text-light">
+ <div class="container font-monospace mt-3">
+
+ <div class="row">
+
+ <div class="col-lg-4 offset-lg-4">
+ <div class="section-header">
+ <h1 class="font-monospace text-center mt-3 pt-4 pb-5">Types of Phishing</h1>
+ <span class="section-divider"></span>
+ </div>
+ </div>
+
+
+ <div class="row">
+ <div class="col-lg-4 col-md-6" style="padding-bottom: 50px;">
+ <h3 >HTTPS Phishing</h3>
+ <p class="descript">An HTTPS phishing attack is carried out by sending the victim an email with a link to a fake website. The site may then be used to fool the victim into entering their private information.</p>
+ <a href="https://www.keyfactor.com/blog/https-phishing-attacks-how-hackers-use-ssl-certificates-to-feign-trust/"><button class="btn btn-outline-light btn-lg">Know more</button></a>
+ </div>
+ <div class="col-lg-4 col-md-6" style="padding-bottom: 50px;">
+ <h3>Pharming</h3>
+ <p class="descript">In a pharming attack, the victim gets malicious code installed on their computer. This code then sends the victim to a fake website designed to gather their login credentials</p>
+ <a href="https://www.kaspersky.com/resource-center/definitions/pharming"><button class="btn btn-outline-light btn-lg">Know more</button></a>
+ </div>
+ <div class="col-lg-4 col-md-6" style="padding-bottom: 50px;">
+ <h3>Pop-up Phishing</h3>
+ <p class="descript">Pop-up phishing often uses a pop-up about a problem with your computer's security or some other issue to trick you into clicking. You are then directed to download a file, which ends up being malware, or to call what is supposed to be a support center.</p>
+ <a href="https://www.aboutschwab.com/identifying-and-avoiding-fraudulent-pop-ups"><button class="btn btn-outline-light btn-lg">Know more</button></a>
+ </div>
+ <div class="col-lg-4 col-md-6" style="padding-bottom: 50px;">
+ <h3>Clone Phishing</h3>
+ <p class="descript">A clone phishing attack involves a hacker making an identical copy of a message the recipient already received. They may include something like “resending this” and put a malicious link in the email.</p>
+ <a href="https://www.proofpoint.com/us/threat-reference/clone-phishing"><button class="btn btn-outline-light btn-lg">Know more</button></a>
+ </div>
+ <div class="col-lg-4 col-md-6" style="padding-bottom: 50px;">
+ <h3>Deceptive Phishing</h3>
+ <p class="descript">Deceptive phishers use deceptive technology to pretend they are with a real company to inform the targets they are already experiencing a cyberattack. The users then click on a malicious link, infecting their computer.</p>
+ <a href="https://www.researchgate.net/figure/steps-in-a-deceptive-phishing-attack_fig1_224602500"><button class="btn btn-outline-light btn-lg">Know more</button></a>
+ </div>
+ <div class="col-lg-4 col-md-6" style="padding-bottom: 50px;">
+ <h3>Social Engineering</h3>
+ <p class="descript">Social engineering attacks pressure someone into revealing sensitive information by manipulating them psychologically.</p>
+ <a href="https://www.imperva.com/learn/application-security/social-engineering-attack/"><button class="btn btn-outline-light btn-lg">Know more</button></a>
+ </div>
+
+ </div>
+
+
+
+ </div>
+</section>
+<!-- Types section end -->
+
+
+<!-- Precaution section start-->
+<section id="precautions" class="p-5">
+ <div class="container">
+ <h1 class="font-monospace text-center">How To Protect Yourself From Phishing Attacks</h1>
+ <div class="row align-items-center justify-content-between">
+
+ <div class="col-md p-5">
+ <h5 class="text-primary">Four Ways To Protect Yourself From Phishing</h5>
+
+ <p>
+ <ol>
+ <li><b>Protect your computer by using security software.</b>Set the software to update automatically so it will deal with any new security threats. </li>
+
+ <li><b>Protect your cell phone by setting software to update automatically.</b> These updates could give you critical protection against security threats.</li>
+
+ <li><b>Protect your accounts by using multi-factor authentication.</b> Some accounts offer extra security by requiring two or more credentials to log in to your account. This is called multi-factor authentication</li>
+
+ <li><b>Protect your data by backing it up.</b>Back up the data on your computer to an external hard drive or in the cloud. Back up the data on your phone, too.</li>
+
+ </ol>
+ </p>
+ <a href="https://consumer.ftc.gov/articles/how-recognize-and-avoid-phishing-scams"><button class="btn btn-outline-primary btn-lg">Know more</button></a>
+
+
+
+ </div>
+ <div class="col-md my-img-1">
+ <img src={{ url_for('static', filename='img/precaution.jpg') }} class="img-fluid my-img-1" alt="">
+ </div>
+ </div>
+ </div>
+</section>
+
+<!-- Precaution section end-->
+
+
+<!-- About section start -->
+<section id="about" class="bg-dark">
+ <div class="container mt-5 pt-5 text-light">
+ <h1 class="font-monospace text-center">About SafeWeb</h1>
+ <div class="row align-items-center justify-content-between">
+ <div class="col-md">
+ <img src={{ url_for('static', filename='img/phishing.png') }} class="img-fluid mb-3" alt="">
+
+ </div>
+
+ <div class="col-md p-5">
+ <h5 class="text-primary">How SafeWeb Works</h5>
+ <h2>How Aware uses Machine Learning to detect and prevent Phishing Websites</h2>
+ <ul>
+ <li><strong>Project Objective:</strong>The primary goal of this project is to develop a machine learning-based system that can effectively detect and prevent phishing websites (malicious websites designed to steal sensitive information) by analyzing their URLs.</li> <br>
+
+ <li><strong>Data Source:</strong>The project uses a publicly available dataset from Kaggle, specifically the <a href="https://www.kaggle.com/datasets/eswarchandt/phishing-website-detector">"Phishing Website Detector"</a> dataset.This dataset contains various features extracted from URLs, including elements like the domain, path, and others, which will be used for training and testing the machine learning models.</li> <br>
+
+ <li><strong>Machine Learning Algorithms:</strong>The project employs four machine learning algorithms:
+
+ <ul><li>Gradient Boosting Classifier</li></ul>
+ <ul><li>Random Forest</li></ul>
+ <ul><li>Support Vector Machine (SVM)</li></ul>
+ <ul><li>Decision tree</li></ul>
+ <ul><li>Logistic Regression</li></ul>
+ These algorithms are used to build predictive models that can classify URLs as either legitimate or phishing.</li> <br>
+
+ <li><strong>Algorithm Performance:</strong>Among the four algorithms, the <strong class="text-warning">Gradient Boosting Classifier</strong> stands out with an impressive accuracy rate of <strong class="text-warning">97.4%.</strong>
+ This classifier excels at identifying phishing URLs accurately, making it the primary choice for the project.</li> <br>
+
+ <li><strong>Conclusion:</strong>This project effectively utilizes machine learning algorithms to detect and prevent phishing websites by analyzing their URLs. The Gradient Boosting Classifier, with its 97.4% accuracy, is the key component of the system, offering robust protection against phishing threats.</li> <br>
+ </ul>
+ <a href="#" class="btn btn-light mt-3">
+ <i class="bi bi-chevron-right"></i> Read More
+ </a>
+
+ </div>
+ </div>
+ <!-- <div class="col-md">
+ <img src="img/result-phishing.png" class="img-fluid align-middle my-img-2" alt="">
+ </div> -->
+ </div>
+</section>
+<!-- About section end -->
+
+</body>
+</html>
\ No newline at end of file
Index: templates/error.html
IDEA additional info:
Subsystem: com.intellij.openapi.diff.impl.patch.CharsetEP
<+>UTF-8
===================================================================
diff --git a/templates/error.html b/templates/error.html
new file mode 100644
--- /dev/null (date 1722938860222)
+++ b/templates/error.html (date 1722938860222)
@@ -0,0 +1,123 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+ <meta charset="UTF-8">
+ <meta http-equiv="X-UA-Compatible" content="IE=edge">
+ <meta name="viewport" content="width=device-width, initial-scale=1.0">
+ <meta name="description" content="This website is develop for identify the safety of url.">
+ <meta name="keywords" content="phishing url,phishing,cyber security,machine learning,classifier,python">
+ <meta name="author" content="VAIBHAV BICHAVE">
+
+ <!-- BootStrap -->
+ <link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.5.0/css/bootstrap.min.css"
+ integrity="sha384-9aIt2nRpC12Uk9gS9baDl411NQApFmC26EwAOH8WgZl5MYYxFfc+NcPb1dKGj7Sk" crossorigin="anonymous">
+
+ <link href="static/style.css" rel="stylesheet">
+ <link href="static/styles.css" rel="stylesheet">
+ <title>URL detection</title>
+
+</head>
+
+<body class="error">
+
+<!-- Navbar -->
+<!-- <navbar-expand-lg class="navbar navbar-expand-lg navbar-dark bg-dark py-3 fixed-top">
+ <div class="container font-monospace">
+ <a href="index" class="navbar-brand text-warning">HOME</a>
+ </div>
+
+</navbar-expand-lg> -->
+<!-- Navbar ends-->
+
+<navbar-expand-lg class="navbar navbar-expand-lg navbar-dark bg-dark py-3 fixed-top">
+ <div class="container font-monospace">
+ <a href="/index" class="navbar-brand text-warning">PhishDetect</a>
+
+ <button
+ class="navbar-toggler"
+ type="button"
+ data-bs-toggle="collapse"
+ data-bs-target="#navmenu"
+ >
+ <span class="navbar-toggler-icon"></span>
+ </button>
+ <div class="collapse navbar-collapse" id="navmenu">
+ <ul class="navbar-nav ms-auto">
+ <!-- <li class="nav-item">
+ <a href="/index_admin" class="nav-link">Home</a>
+ </li> -->
+ <!-- <li class="nav-item">
+ <a href="#" class="nav-link">Contact</a>
+ </li> -->
+
+
+ </ul>
+ </div>
+ </div>
+</navbar-expand-lg>
+
+
+<div class="container">
+ <div class="row">
+ <div class="form col-md" id="form1">
+ <h2>PHISHING URL DETECTION</h2>
+
+ <br>
+ <form method="POST" action="{{ url_for('error') }}">
+ <input type="text" class="form__input" name ='url' id="url" placeholder="Enter URL" required="" />
+ <br>
+ <button class="button" value="error" type="submit" name="error">Click Here</button>
+ </form>
+
+ </div>
+
+ <div class="col-md" id="form2">
+
+ <br>
+
+ <br>
+ <h3 id="prediction"></h3>
+ <button class="button2" id="button2" role="button" onclick="window.open('{{url}}')" target="_blank" >Still want to Continue</button>
+ <button class="button1" id="button1" role="button" onclick="window.open('{{url}}')" target="_blank">Continue</button>
+ </div>
+</div>
+<br>
+
+</div>
+
+ <!-- JavaScript -->
+ <script src="https://code.jquery.com/jquery-3.5.1.slim.min.js"
+ integrity="sha384-DfXdz2htPH0lsSSs5nCTpuj/zy4C+OGpamoFVy38MVBnE+IbbVYUew+OrCXaRkfj"
+ crossorigin="anonymous"></script>
+ <script src="https://cdn.jsdelivr.net/npm/popper.js@1.16.0/dist/umd/popper.min.js"
+ integrity="sha384-Q6E9RHvbIyZFJoft+2mJbHaEWldlvI9IOYy5n3zV9zzTtmI3UksdQRVvoxMfooAo"
+ crossorigin="anonymous"></script>
+ <script src="https://stackpath.bootstrapcdn.com/bootstrap/4.5.0/js/bootstrap.min.js"
+ integrity="sha384-OgVRvuATP1z7JjHLkuOU7Xw704+h835Lr+6QL9UvYjZE3Ipu6Tp75j7Bh/kR0JKI"
+ crossorigin="anonymous"></script>
+
+
+ <script>
+
+ let x = '{{xx}}';
+ let num = x*100;
+ if (0<=x && x<0.50){
+ num = 100-num;
+ }
+ let txtx = num.toString();
+ if(x<=1 && x>=0.50){
+ var label = "Website is "+txtx +"% safe to use...";
+ document.getElementById("prediction").innerHTML = label;
+ document.getElementById("button1").style.display="block";
+ }
+ else if (0<=x && x<0.50){
+ var label = "Website is "+txtx +"% unsafe to use..."
+ document.getElementById("prediction").innerHTML = label ;
+ document.getElementById("button2").style.display="block";
+ }
+
+ </script>
+
+</body>
+
+</html>
Index: .idea/misc.xml
IDEA additional info:
Subsystem: com.intellij.openapi.diff.impl.patch.CharsetEP
<+>UTF-8
===================================================================
diff --git a/.idea/misc.xml b/.idea/misc.xml
new file mode 100644
--- /dev/null (date 1722937228675)
+++ b/.idea/misc.xml (date 1722937228675)
@@ -0,0 +1,9 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+ <component name="Black">
+ <option name="sdkName" value="Python 3.12 (PhishingProject)" />
+ </component>
+ <component name="ProjectRootManager" version="2" languageLevel="JDK_22" default="true" project-jdk-name="Python 3.12 (PhishingProject)" project-jdk-type="Python SDK">
+ <output url="file://$PROJECT_DIR$/out" />
+ </component>
+</project>
\ No newline at end of file
Index: .idea/modules.xml
IDEA additional info:
Subsystem: com.intellij.openapi.diff.impl.patch.CharsetEP
<+>UTF-8
===================================================================
diff --git a/.idea/modules.xml b/.idea/modules.xml
new file mode 100644
--- /dev/null (date 1722847386178)
+++ b/.idea/modules.xml (date 1722847386178)
@@ -0,0 +1,8 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+ <component name="ProjectModuleManager">
+ <modules>
+ <module fileurl="file://$PROJECT_DIR$/.idea/PhishingProject.iml" filepath="$PROJECT_DIR$/.idea/PhishingProject.iml" />
+ </modules>
+ </component>
+</project>
\ No newline at end of file
Index: .idea/PhishingProject.iml
IDEA additional info:
Subsystem: com.intellij.openapi.diff.impl.patch.CharsetEP
<+>UTF-8
===================================================================
diff --git a/.idea/PhishingProject.iml b/.idea/PhishingProject.iml
new file mode 100644
--- /dev/null (date 1722848322848)
+++ b/.idea/PhishingProject.iml (date 1722848322848)
@@ -0,0 +1,22 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<module type="JAVA_MODULE" version="4">
+ <component name="Flask">
+ <option name="enabled" value="true" />
+ </component>
+ <component name="NewModuleRootManager" inherit-compiler-output="true">
+ <exclude-output />
+ <content url="file://$MODULE_DIR$">
+ <excludeFolder url="file://$MODULE_DIR$/venv" />
+ </content>
+ <orderEntry type="inheritedJdk" />
+ <orderEntry type="sourceFolder" forTests="false" />
+ </component>
+ <component name="TemplatesService">
+ <option name="TEMPLATE_CONFIGURATION" value="Jinja2" />
+ <option name="TEMPLATE_FOLDERS">
+ <list>
+ <option value="$MODULE_DIR$/templates" />
+ </list>
+ </option>
+ </component>
+</module>
\ No newline at end of file
Index: .idea/.gitignore
IDEA additional info:
Subsystem: com.intellij.openapi.diff.impl.patch.CharsetEP
<+>UTF-8
===================================================================
diff --git a/.idea/.gitignore b/.idea/.gitignore
new file mode 100644
--- /dev/null (date 1722847301526)
+++ b/.idea/.gitignore (date 1722847301526)
@@ -0,0 +1,8 @@
+# Default ignored files
+/shelf/
+/workspace.xml
+# Editor-based HTTP Client requests
+/httpRequests/
+# Datasource local storage ignored files
+/dataSources/
+/dataSources.local.xml
Index: app.py
IDEA additional info:
Subsystem: com.intellij.openapi.diff.impl.patch.CharsetEP
<+>UTF-8
===================================================================
diff --git a/app.py b/app.py
new file mode 100644
--- /dev/null (date 1722846070793)
+++ b/app.py (date 1722846070793)
@@ -0,0 +1,44 @@
+#importing required libraries
+import numpy as np
+import pandas as pd
+from sklearn import metrics
+import pickle
+from feature import FeatureExtraction
+import os
+from flask import Flask, request, render_template, session, redirect, url_for
+import warnings
+warnings.filterwarnings('ignore')
+
+app = Flask(__name__)
+
+file = open("pickle/model.pkl","rb")
+gbc = pickle.load(file)
+file.close()
+
+
+@app.route("/")
+def home():
+ return render_template("index.html")
+
+@app.route('/index')
+def index():
+
+ return render_template("index.html")
+
+
+@app.route("/error", methods=['GET', 'POST'])
+def error():
+
+ if request.method == "POST":
+
+ url = request.form["url"]
+ obj = FeatureExtraction(url)
+ x = np.array(obj.getFeaturesList()).reshape(1,30)
+ y_pro_non_phishing = gbc.predict_proba(x)[0,1]
+ return render_template('error.html',xx =round(y_pro_non_phishing,2),url=url )
+ return render_template("error.html", xx =-1)
+
+
+if __name__ == "__main__":
+
+ app.run(debug=True)
Index: feature.py
IDEA additional info:
Subsystem: com.intellij.openapi.diff.impl.patch.CharsetEP
<+>UTF-8
===================================================================
diff --git a/feature.py b/feature.py
new file mode 100644
--- /dev/null (date 1722846070851)
+++ b/feature.py (date 1722846070851)
@@ -0,0 +1,489 @@
+import ipaddress
+import re
+import urllib.request
+from bs4 import BeautifulSoup
+import socket
+import requests
+# from googlesearch import search
+import whois
+from datetime import date, datetime
+import time
+from dateutil.parser import parse as date_parse
+from urllib.parse import urlparse
+
+class FeatureExtraction:
+ features = []
+ def __init__(self,url):
+ self.features = []
+ self.url = url
+ self.domain = ""
+ self.whois_response = ""
+ self.urlparse = ""
+ self.response = ""
+ self.soup = ""
+
+ try:
+ self.response = requests.get(url)
+ self.soup = BeautifulSoup(response.text, 'html.parser')
+ except:
+ pass
+
+ try:
+ self.urlparse = urlparse(url)
+ self.domain = self.urlparse.netloc
+ except:
+ pass
+
+ try:
+ self.whois_response = whois.whois(self.domain)
+ except:
+ pass
+
+
+
+
+ self.features.append(self.UsingIp())
+ self.features.append(self.longUrl())
+ self.features.append(self.shortUrl())
+ self.features.append(self.symbol())
+ self.features.append(self.redirecting())
+ self.features.append(self.prefixSuffix())
+ self.features.append(self.SubDomains())
+ self.features.append(self.Hppts())
+ self.features.append(self.DomainRegLen())
+ self.features.append(self.Favicon())
+
+
+ self.features.append(self.NonStdPort())
+ self.features.append(self.HTTPSDomainURL())
+ self.features.append(self.RequestURL())
+ self.features.append(self.AnchorURL())
+ self.features.append(self.LinksInScriptTags())
+ self.features.append(self.ServerFormHandler())
+ self.features.append(self.InfoEmail())
+ self.features.append(self.AbnormalURL())
+ self.features.append(self.WebsiteForwarding())
+ self.features.append(self.StatusBarCust())
+
+ self.features.append(self.DisableRightClick())
+ self.features.append(self.UsingPopupWindow())
+ self.features.append(self.IframeRedirection())
+ self.features.append(self.AgeofDomain())
+ self.features.append(self.DNSRecording())
+ self.features.append(self.WebsiteTraffic())
+ self.features.append(self.PageRank())
+ self.features.append(self.GoogleIndex())
+ self.features.append(self.LinksPointingToPage())
+ self.features.append(self.StatsReport())
+
+
+ # 1.UsingIp
+ def UsingIp(self):
+ try:
+ ipaddress.ip_address(self.url)
+ return -1
+ except:
+ return 1
+
+ # 2.longUrl
+ def longUrl(self):
+ if len(self.url) < 54:
+ return 1
+ if len(self.url) >= 54 and len(self.url) <= 75:
+ return 0
+ return -1
+
+ # 3.shortUrl
+ def shortUrl(self):
+ match = re.search('bit\.ly|goo\.gl|shorte\.st|go2l\.ink|x\.co|ow\.ly|t\.co|tinyurl|tr\.im|is\.gd|cli\.gs|'
+ 'yfrog\.com|migre\.me|ff\.im|tiny\.cc|url4\.eu|twit\.ac|su\.pr|twurl\.nl|snipurl\.com|'
+ 'short\.to|BudURL\.com|ping\.fm|post\.ly|Just\.as|bkite\.com|snipr\.com|fic\.kr|loopt\.us|'
+ 'doiop\.com|short\.ie|kl\.am|wp\.me|rubyurl\.com|om\.ly|to\.ly|bit\.do|t\.co|lnkd\.in|'
+ 'db\.tt|qr\.ae|adf\.ly|goo\.gl|bitly\.com|cur\.lv|tinyurl\.com|ow\.ly|bit\.ly|ity\.im|'
+ 'q\.gs|is\.gd|po\.st|bc\.vc|twitthis\.com|u\.to|j\.mp|buzurl\.com|cutt\.us|u\.bb|yourls\.org|'
+ 'x\.co|prettylinkpro\.com|scrnch\.me|filoops\.info|vzturl\.com|qr\.net|1url\.com|tweez\.me|v\.gd|tr\.im|link\.zip\.net', self.url)
+ if match:
+ return -1
+ return 1
+
+ # 4.Symbol@
+ def symbol(self):
+ if re.findall("@",self.url):
+ return -1
+ return 1
+
+ # 5.Redirecting//
+ def redirecting(self):
+ if self.url.rfind('//')>6:
+ return -1
+ return 1
+
+ # 6.prefixSuffix
+ def prefixSuffix(self):
+ try:
+ match = re.findall('\-', self.domain)
+ if match:
+ return -1
+ return 1
+ except:
+ return -1
+
+ # 7.SubDomains
+ def SubDomains(self):
+ dot_count = len(re.findall("\.", self.url))
+ if dot_count == 1:
+ return 1
+ elif dot_count == 2:
+ return 0
+ return -1
+
+ # 8.HTTPS
+ def Hppts(self):
+ try:
+ https = self.urlparse.scheme
+ if 'https' in https:
+ return 1
+ return -1
+ except:
+ return 1
+
+ # 9.DomainRegLen
+ def DomainRegLen(self):
+ try:
+ expiration_date = self.whois_response.expiration_date
+ creation_date = self.whois_response.creation_date
+ try:
+ if(len(expiration_date)):
+ expiration_date = expiration_date[0]
+ except:
+ pass
+ try:
+ if(len(creation_date)):
+ creation_date = creation_date[0]
+ except:
+ pass
+
+ age = (expiration_date.year-creation_date.year)*12+ (expiration_date.month-creation_date.month)
+ if age >=12:
+ return 1
+ return -1
+ except:
+ return -1
+
+ # 10. Favicon
+ def Favicon(self):
+ try:
+ for head in self.soup.find_all('head'):
+ for head.link in self.soup.find_all('link', href=True):
+ dots = [x.start(0) for x in re.finditer('\.', head.link['href'])]
+ if self.url in head.link['href'] or len(dots) == 1 or domain in head.link['href']:
+ return 1
+ return -1
+ except:
+ return -1
+
+ # 11. NonStdPort
+ def NonStdPort(self):
+ try:
+ port = self.domain.split(":")
+ if len(port)>1:
+ return -1
+ return 1
+ except:
+ return -1
+
+ # 12. HTTPSDomainURL
+ def HTTPSDomainURL(self):
+ try:
+ if 'https' in self.domain:
+ return -1
+ return 1
+ except:
+ return -1
+
+ # 13. RequestURL
+ def RequestURL(self):
+ try:
+ for img in self.soup.find_all('img', src=True):
+ dots = [x.start(0) for x in re.finditer('\.', img['src'])]
+ if self.url in img['src'] or self.domain in img['src'] or len(dots) == 1:
+ success = success + 1
+ i = i+1
+
+ for audio in self.soup.find_all('audio', src=True):
+ dots = [x.start(0) for x in re.finditer('\.', audio['src'])]
+ if self.url in audio['src'] or self.domain in audio['src'] or len(dots) == 1:
+ success = success + 1
+ i = i+1
+
+ for embed in self.soup.find_all('embed', src=True):
+ dots = [x.start(0) for x in re.finditer('\.', embed['src'])]
+ if self.url in embed['src'] or self.domain in embed['src'] or len(dots) == 1:
+ success = success + 1
+ i = i+1
+
+ for iframe in self.soup.find_all('iframe', src=True):
+ dots = [x.start(0) for x in re.finditer('\.', iframe['src'])]
+ if self.url in iframe['src'] or self.domain in iframe['src'] or len(dots) == 1:
+ success = success + 1
+ i = i+1
+
+ try:
+ percentage = success/float(i) * 100
+ if percentage < 22.0:
+ return 1
+ elif((percentage >= 22.0) and (percentage < 61.0)):
+ return 0
+ else:
+ return -1
+ except:
+ return 0
+ except:
+ return -1
+
+ # 14. AnchorURL
+ def AnchorURL(self):
+ try:
+ i,unsafe = 0,0
+ for a in self.soup.find_all('a', href=True):
+ if "#" in a['href'] or "javascript" in a['href'].lower() or "mailto" in a['href'].lower() or not (url in a['href'] or self.domain in a['href']):
+ unsafe = unsafe + 1
+ i = i + 1
+
+ try:
+ percentage = unsafe / float(i) * 100
+ if percentage < 31.0:
+ return 1
+ elif ((percentage >= 31.0) and (percentage < 67.0)):
+ return 0
+ else:
+ return -1
+ except:
+ return -1
+
+ except:
+ return -1
+
+ # 15. LinksInScriptTags
+ def LinksInScriptTags(self):
+ try:
+ i,success = 0,0
+
+ for link in self.soup.find_all('link', href=True):
+ dots = [x.start(0) for x in re.finditer('\.', link['href'])]
+ if self.url in link['href'] or self.domain in link['href'] or len(dots) == 1:
+ success = success + 1
+ i = i+1
+
+ for script in self.soup.find_all('script', src=True):
+ dots = [x.start(0) for x in re.finditer('\.', script['src'])]
+ if self.url in script['src'] or self.domain in script['src'] or len(dots) == 1:
+ success = success + 1
+ i = i+1
+
+ try:
+ percentage = success / float(i) * 100
+ if percentage < 17.0:
+ return 1
+ elif((percentage >= 17.0) and (percentage < 81.0)):
+ return 0
+ else:
+ return -1
+ except:
+ return 0
+ except:
+ return -1
+
+ # 16. ServerFormHandler
+ def ServerFormHandler(self):
+ try:
+ if len(self.soup.find_all('form', action=True))==0:
+ return 1
+ else :
+ for form in self.soup.find_all('form', action=True):
+ if form['action'] == "" or form['action'] == "about:blank":
+ return -1
+ elif self.url not in form['action'] and self.domain not in form['action']:
+ return 0
+ else:
+ return 1
+ except:
+ return -1
+
+ # 17. InfoEmail
+ def InfoEmail(self):
+ try:
+ if re.findall(r"[mail\(\)|mailto:?]", self.soap):
+ return -1
+ else:
+ return 1
+ except:
+ return -1
+
+ # 18. AbnormalURL
+ def AbnormalURL(self):
+ try:
+ if self.response.text == self.whois_response:
+ return 1
+ else:
+ return -1
+ except:
+ return -1
+
+ # 19. WebsiteForwarding
+ def WebsiteForwarding(self):
+ try:
+ if len(self.response.history) <= 1:
+ return 1
+ elif len(self.response.history) <= 4:
+ return 0
+ else:
+ return -1
+ except:
+ return -1
+
+ # 20. StatusBarCust
+ def StatusBarCust(self):
+ try:
+ if re.findall("<script>.+onmouseover.+</script>", self.response.text):
+ return 1
+ else:
+ return -1
+ except:
+ return -1
+
+ # 21. DisableRightClick
+ def DisableRightClick(self):
+ try:
+ if re.findall(r"event.button ?== ?2", self.response.text):
+ return 1
+ else:
+ return -1
+ except:
+ return -1
+
+ # 22. UsingPopupWindow
+ def UsingPopupWindow(self):
+ try:
+ if re.findall(r"alert\(", self.response.text):
+ return 1
+ else:
+ return -1
+ except:
+ return -1
+
+ # 23. IframeRedirection
+ def IframeRedirection(self):
+ try:
+ if re.findall(r"[<iframe>|<frameBorder>]", self.response.text):
+ return 1
+ else:
+ return -1
+ except:
+ return -1
+
+ # 24. AgeofDomain
+ def AgeofDomain(self):
+ try:
+ creation_date = self.whois_response.creation_date
+ try:
+ if(len(creation_date)):
+ creation_date = creation_date[0]
+ except:
+ pass
+
+ today = date.today()
+ age = (today.year-creation_date.year)*12+(today.month-creation_date.month)
+ if age >=6:
+ return 1
+ return -1
+ except:
+ return -1
+
+ # 25. DNSRecording
+ def DNSRecording(self):
+ try:
+ creation_date = self.whois_response.creation_date
+ try:
+ if(len(creation_date)):
+ creation_date = creation_date[0]
+ except:
+ pass
+
+ today = date.today()
+ age = (today.year-creation_date.year)*12+(today.month-creation_date.month)
+ if age >=6:
+ return 1
+ return -1
+ except:
+ return -1
+
+ # 26. WebsiteTraffic
+ def WebsiteTraffic(self):
+ try:
+ rank = BeautifulSoup(urllib.request.urlopen("http://data.alexa.com/data?cli=10&dat=s&url=" + url).read(), "xml").find("REACH")['RANK']
+ if (int(rank) < 100000):
+ return 1
+ return 0
+ except :
+ return -1
+
+ # 27. PageRank
+ def PageRank(self):
+ try:
+ prank_checker_response = requests.post("https://www.checkpagerank.net/index.php", {"name": self.domain})
+
+ global_rank = int(re.findall(r"Global Rank: ([0-9]+)", rank_checker_response.text)[0])
+ if global_rank > 0 and global_rank < 100000:
+ return 1
+ return -1
+ except:
+ return -1
+
+
+ # 28. GoogleIndex
+ def GoogleIndex(self):
+ try:
+ site = search(self.url, 5)
+ if site:
+ return 1
+ else:
+ return -1
+ except:
+ return 1
+
+ # 29. LinksPointingToPage
+ def LinksPointingToPage(self):
+ try:
+ number_of_links = len(re.findall(r"<a href=", self.response.text))
+ if number_of_links == 0:
+ return 1
+ elif number_of_links <= 2:
+ return 0
+ else:
+ return -1
+ except:
+ return -1
+
+ # 30. StatsReport
+ def StatsReport(self):
+ try:
+ url_match = re.search(
+ 'at\.ua|usa\.cc|baltazarpresentes\.com\.br|pe\.hu|esy\.es|hol\.es|sweddy\.com|myjino\.ru|96\.lt|ow\.ly', url)
+ ip_address = socket.gethostbyname(self.domain)
+ ip_match = re.search('146\.112\.61\.108|213\.174\.157\.151|121\.50\.168\.88|192\.185\.217\.116|78\.46\.211\.158|181\.174\.165\.13|46\.242\.145\.103|121\.50\.168\.40|83\.125\.22\.219|46\.242\.145\.98|'
+ '107\.151\.148\.44|107\.151\.148\.107|64\.70\.19\.203|199\.184\.144\.27|107\.151\.148\.108|107\.151\.148\.109|119\.28\.52\.61|54\.83\.43\.69|52\.69\.166\.231|216\.58\.192\.225|'
+ '118\.184\.25\.86|67\.208\.74\.71|23\.253\.126\.58|104\.239\.157\.210|175\.126\.123\.219|141\.8\.224\.221|10\.10\.10\.10|43\.229\.108\.32|103\.232\.215\.140|69\.172\.201\.153|'
+ '216\.218\.185\.162|54\.225\.104\.146|103\.243\.24\.98|199\.59\.243\.120|31\.170\.160\.61|213\.19\.128\.77|62\.113\.226\.131|208\.100\.26\.234|195\.16\.127\.102|195\.16\.127\.157|'
+ '34\.196\.13\.28|103\.224\.212\.222|172\.217\.4\.225|54\.72\.9\.51|192\.64\.147\.141|198\.200\.56\.183|23\.253\.164\.103|52\.48\.191\.26|52\.214\.197\.72|87\.98\.255\.18|209\.99\.17\.27|'
+ '216\.38\.62\.18|104\.130\.124\.96|47\.89\.58\.141|78\.46\.211\.158|54\.86\.225\.156|54\.82\.156\.19|37\.157\.192\.102|204\.11\.56\.48|110\.34\.231\.42', ip_address)
+ if url_match:
+ return -1
+ elif ip_match:
+ return -1
+ return 1
+ except:
+ return 1
+
+ def getFeaturesList(self):
+ return self.features
Index: phishing.csv
IDEA additional info:
Subsystem: com.intellij.openapi.diff.impl.patch.CharsetEP
<+>UTF-8
===================================================================
diff --git a/phishing.csv b/phishing.csv
new file mode 100644
--- /dev/null (date 1722846071044)
+++ b/phishing.csv (date 1722846071044)
@@ -0,0 +1,11055 @@
+Index,UsingIP,LongURL,ShortURL,Symbol@,Redirecting//,PrefixSuffix-,SubDomains,HTTPS,DomainRegLen,Favicon,NonStdPort,HTTPSDomainURL,RequestURL,AnchorURL,LinksInScriptTags,ServerFormHandler,InfoEmail,AbnormalURL,WebsiteForwarding,StatusBarCust,DisableRightClick,UsingPopupWindow,IframeRedirection,AgeofDomain,DNSRecording,WebsiteTraffic,PageRank,GoogleIndex,LinksPointingToPage,StatsReport,class
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+83,1,1,1,1,1,-1,1,1,-1,-1,1,-1,1,0,0,1,1,1,0,-1,1,-1,1,1,1,1,-1,1,-1,1,1
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+11018,-1,-1,1,1,1,-1,-1,0,-1,1,1,1,1,0,-1,0,1,1,0,1,1,1,1,1,1,0,-1,1,1,1,-1
+11019,-1,-1,1,-1,1,-1,0,-1,-1,-1,-1,1,1,0,-1,-1,-1,1,0,1,1,-1,1,1,1,1,-1,-1,0,1,-1
+11020,1,-1,1,1,1,-1,-1,-1,-1,-1,1,1,1,-1,1,-1,1,1,0,1,1,-1,1,1,1,0,-1,1,0,1,-1
+11021,1,-1,1,-1,1,-1,-1,-1,-1,-1,-1,1,1,-1,0,-1,-1,1,0,-1,-1,-1,-1,1,1,1,-1,1,0,1,-1
+11022,-1,-1,1,1,1,1,1,1,-1,1,1,1,1,0,0,-1,-1,1,0,1,1,1,1,1,1,1,-1,1,0,1,1
+11023,1,-1,1,1,1,-1,1,1,-1,1,1,1,1,1,-1,1,1,1,0,1,1,1,1,1,1,1,-1,-1,1,1,1
+11024,-1,1,1,1,1,-1,1,1,1,-1,1,1,-1,0,0,-1,1,1,0,-1,1,-1,1,1,1,1,1,-1,0,1,1
+11025,1,-1,1,1,1,1,1,1,1,1,1,1,-1,1,1,-1,1,1,0,1,1,1,1,1,1,1,-1,1,0,1,1
+11026,1,-1,1,-1,1,-1,1,1,-1,-1,-1,1,1,0,1,1,-1,-1,0,-1,1,-1,1,1,1,1,-1,1,0,1,1
+11027,-1,1,1,1,1,-1,1,1,-1,1,1,1,1,0,-1,-1,1,1,0,1,1,1,1,-1,1,0,1,1,1,1,1
+11028,1,-1,1,1,1,-1,1,-1,-1,1,1,1,1,-1,-1,-1,1,1,0,1,1,1,1,1,1,1,-1,1,0,1,-1
+11029,-1,-1,1,1,1,-1,-1,0,1,1,1,1,-1,-1,-1,-1,1,1,0,1,1,1,1,1,1,0,-1,1,1,1,-1
+11030,-1,1,1,1,1,-1,1,1,-1,1,1,1,1,0,0,1,1,1,0,1,1,1,1,1,1,-1,1,1,0,1,1
+11031,-1,1,1,1,1,-1,0,0,1,1,1,1,-1,-1,0,-1,1,1,0,1,1,1,1,1,1,0,1,1,0,1,-1
+11032,-1,-1,1,1,1,-1,1,1,-1,-1,-1,1,-1,1,0,-1,-1,1,0,1,1,-1,-1,1,1,1,-1,1,0,1,1
+11033,-1,-1,1,1,1,-1,-1,-1,1,1,1,1,-1,0,-1,1,1,1,0,1,1,1,1,1,1,1,-1,-1,1,1,-1
+11034,1,-1,1,1,1,-1,1,1,-1,1,1,1,1,0,1,-1,1,1,0,1,1,1,1,1,1,0,-1,1,0,1,1
+11035,-1,-1,-1,1,-1,-1,1,1,-1,1,1,-1,1,0,0,-1,1,-1,1,1,1,1,1,1,-1,0,-1,1,1,1,1
+11036,1,-1,-1,1,-1,-1,-1,-1,-1,1,1,-1,1,-1,1,-1,1,-1,1,1,1,1,1,1,-1,0,-1,1,0,1,-1
+11037,-1,-1,1,1,1,-1,-1,-1,1,1,1,1,-1,-1,-1,0,1,1,0,1,1,1,1,1,1,1,-1,1,0,1,-1
+11038,-1,-1,1,1,1,-1,1,-1,-1,1,1,1,1,0,-1,-1,1,1,0,1,1,1,1,1,1,1,-1,1,0,1,-1
+11039,-1,-1,1,-1,1,-1,0,-1,1,-1,-1,1,-1,-1,0,-1,-1,1,0,-1,1,-1,-1,1,1,0,-1,-1,1,1,-1
+11040,1,-1,1,-1,1,-1,1,1,-1,-1,-1,1,1,0,-1,0,-1,1,0,1,-1,-1,-1,1,1,1,-1,1,0,1,1
+11041,1,-1,1,1,1,1,0,1,-1,1,1,1,1,1,-1,1,1,1,0,1,1,1,1,1,1,1,-1,1,0,1,1
+11042,1,-1,1,1,1,-1,-1,0,-1,1,1,1,1,-1,0,-1,1,1,0,1,1,1,1,1,1,0,-1,1,0,1,-1
+11043,-1,-1,-1,1,-1,-1,1,-1,-1,1,1,-1,1,1,0,-1,1,-1,1,1,1,1,1,1,-1,0,-1,1,1,1,1
+11044,1,-1,1,1,1,-1,1,-1,-1,1,1,1,1,0,1,-1,1,1,0,1,1,1,1,1,1,0,-1,1,0,1,1
+11045,-1,-1,1,1,1,-1,1,1,-1,1,1,1,-1,0,1,1,1,1,0,1,1,1,1,1,1,0,-1,1,1,1,1
+11046,-1,-1,1,1,1,-1,1,-1,-1,1,1,-1,1,-1,-1,-1,-1,1,0,1,1,1,1,1,1,1,-1,1,0,1,-1
+11047,1,-1,1,1,1,-1,-1,1,1,1,1,1,-1,0,0,-1,1,1,0,1,1,1,1,1,1,0,-1,1,0,1,1
+11048,-1,-1,1,1,-1,-1,1,-1,1,1,1,-1,-1,0,-1,-1,1,1,1,1,1,1,1,-1,1,1,-1,1,1,1,-1
+11049,1,-1,1,-1,1,1,1,1,-1,-1,-1,1,1,1,1,-1,-1,1,0,-1,-1,-1,-1,1,1,-1,-1,1,1,1,1
+11050,-1,1,1,-1,-1,-1,1,-1,-1,-1,-1,1,1,-1,-1,0,-1,-1,1,-1,1,-1,1,1,1,1,1,1,-1,1,-1
+11051,1,-1,1,1,1,-1,1,-1,-1,1,1,1,1,0,-1,-1,1,1,0,1,1,1,1,1,1,1,-1,1,0,1,-1
+11052,-1,-1,1,1,1,-1,-1,-1,1,-1,1,1,-1,-1,1,-1,1,1,0,-1,1,-1,1,1,1,1,-1,1,1,1,-1
+11053,-1,-1,1,1,1,-1,-1,-1,1,1,1,1,-1,-1,0,-1,1,1,0,1,1,1,1,-1,1,-1,-1,-1,1,-1,-1
Index: .idea/vcs.xml
IDEA additional info:
Subsystem: com.intellij.openapi.diff.impl.patch.CharsetEP
<+>UTF-8
===================================================================
diff --git a/.idea/vcs.xml b/.idea/vcs.xml
new file mode 100644
--- /dev/null (date 1723214258491)
+++ b/.idea/vcs.xml (date 1723214258491)
@@ -0,0 +1,6 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+ <component name="VcsDirectoryMappings">
+ <mapping directory="$PROJECT_DIR$" vcs="Git" />
+ </component>
+</project>
\ No newline at end of file
Index: static/styles.css
IDEA additional info:
Subsystem: com.intellij.openapi.diff.impl.patch.CharsetEP
<+>UTF-8
===================================================================
diff --git a/static/styles.css b/static/styles.css
new file mode 100644
--- /dev/null (date 1722846071254)
+++ b/static/styles.css (date 1722846071254)
@@ -0,0 +1,166 @@
+*,
+*::after,
+*::before {
+ margin: 0;
+ padding: 0;
+ box-sizing: inherit;
+ font-size: 62,5%;
+}
+
+body {
+ padding: 10% 5%;
+ background: #0f2027;
+ background: linear-gradient(to right,#2c5364, #203a43, #0f2027);
+ justify-content: center;
+ align-items: center;
+ height: 100vh;
+ color: #fff;
+}
+
+.form__label {
+ font-family: 'Roboto', sans-serif;
+ font-size: 1.2rem;
+ margin-left: 2rem;
+ margin-top: 0.7rem;
+ display: block;
+ transition: all 0.3s;
+ transform: translateY(0rem);
+}
+
+.form__input {
+ top: -24px;
+ font-family: 'Roboto', sans-serif;
+ color: #333;
+ font-size: 1.2rem;
+ padding: 1.5rem 2rem;
+ border-radius: 0.2rem;
+ background-color: rgb(255, 255, 255);
+ border: none;
+ width: 75%;
+ display: block;
+ border-bottom: 0.3rem solid transparent;
+ transition: all 0.3s;
+}
+
+.form__input:placeholder-shown + .form__label {
+ opacity: 0;
+ visibility: hidden;
+ -webkit-transform: translateY(+4rem);
+ transform: translateY(+4rem);
+}
+
+
+.button {
+ appearance: button;
+ background-color: transparent;
+ background-image: linear-gradient(to bottom, #fff, #f8eedb);
+ border: 0 solid #e5e7eb;
+ border-radius: .5rem;
+ box-sizing: border-box;
+ color: #482307;
+ column-gap: 1rem;
+ cursor: pointer;
+ display: flex;
+ font-family: ui-sans-serif,system-ui,-apple-system,system-ui,"Segoe UI",Roboto,"Helvetica Neue",Arial,"Noto Sans",sans-serif,"Apple Color Emoji","Segoe UI Emoji","Segoe UI Symbol","Noto Color Emoji";
+ font-size: 100%;
+ font-weight: 700;
+ line-height: 24px;
+ margin: 0;
+ outline: 2px solid transparent;
+ padding: 1rem 1.5rem;
+ text-align: center;
+ text-transform: none;
+ transition: all .1s cubic-bezier(.4, 0, .2, 1);
+ user-select: none;
+ -webkit-user-select: none;
+ touch-action: manipulation;
+ box-shadow: -6px 8px 10px rgba(81,41,10,0.1),0px 2px 2px rgba(81,41,10,0.2);
+}
+
+.button:active {
+ background-color: #f3f4f6;
+ box-shadow: -1px 2px 5px rgba(81,41,10,0.15),0px 1px 1px rgba(81,41,10,0.15);
+ transform: translateY(0.125rem);
+}
+
+.button:focus {
+ box-shadow: rgba(72, 35, 7, .46) 0 0 0 4px, -6px 8px 10px rgba(81,41,10,0.1), 0px 2px 2px rgba(81,41,10,0.2);
+}
+
+
+.main-body{
+ display: flex;
+ flex-direction: row;
+ width: 75%;
+ justify-content:space-around;
+}
+
+.button1{
+ appearance: button;
+ background-color: transparent;
+ background-image: linear-gradient(to bottom, rgb(160, 245, 174), #37ee65);
+ border: 0 solid #e5e7eb;
+ border-radius: .5rem;
+ box-sizing: border-box;
+ color: #482307;
+ column-gap: 1rem;
+ cursor: pointer;
+ display: flex;
+ font-family: ui-sans-serif,system-ui,-apple-system,system-ui,"Segoe UI",Roboto,"Helvetica Neue",Arial,"Noto Sans",sans-serif,"Apple Color Emoji","Segoe UI Emoji","Segoe UI Symbol","Noto Color Emoji";
+ font-size: 100%;
+ font-weight: 700;
+ line-height: 24px;
+ margin: 0;
+ outline: 2px solid transparent;
+ padding: 1rem 1.5rem;
+ text-align: center;
+ text-transform: none;
+ transition: all .1s cubic-bezier(.4, 0, .2, 1);
+ user-select: none;
+ -webkit-user-select: none;
+ touch-action: manipulation;
+ box-shadow: -6px 8px 10px rgba(81,41,10,0.1),0px 2px 2px rgba(81,41,10,0.2);
+ display: none;
+}
+
+.button2{
+ appearance: button;
+ background-color: transparent;
+ background-image: linear-gradient(to bottom, rgb(252, 162, 162), #ee3737);
+ border: 0 solid #e5e7eb;
+ border-radius: .5rem;
+ box-sizing: border-box;
+ color: #482307;
+ column-gap: 1rem;
+ cursor: pointer;
+ display: flex;
+ font-family: ui-sans-serif,system-ui,-apple-system,system-ui,"Segoe UI",Roboto,"Helvetica Neue",Arial,"Noto Sans",sans-serif,"Apple Color Emoji","Segoe UI Emoji","Segoe UI Symbol","Noto Color Emoji";
+ font-size: 100%;
+ font-weight: 700;
+ line-height: 24px;
+ margin: 0;
+ outline: 2px solid transparent;
+ padding: 1rem 1.5rem;
+ text-align: center;
+ text-transform: none;
+ transition: all .1s cubic-bezier(.4, 0, .2, 1);
+ user-select: none;
+ -webkit-user-select: none;
+ touch-action: manipulation;
+ box-shadow: -6px 8px 10px rgba(81,41,10,0.1),0px 2px 2px rgba(81,41,10,0.2);
+ display: none;
+}
+
+.right {
+ right: 0px;
+ width: 300px;
+}
+
+@media (max-width: 576px) {
+ .form {
+ width: 100%;
+ }
+ }
+.abc{
+ width: 50%;
+}
\ No newline at end of file
Index: static/style.css
IDEA additional info:
Subsystem: com.intellij.openapi.diff.impl.patch.CharsetEP
<+>UTF-8
===================================================================
diff --git a/static/style.css b/static/style.css
new file mode 100644
--- /dev/null (date 1722846071199)
+++ b/static/style.css (date 1722846071199)
@@ -0,0 +1,70 @@
+
+
+.home{
+ background-image: url("img/bg.png");
+ max-height:700px;
+ background-blend-mode: multiply;
+ background-position: center;
+ background-size: cover;
+ background-repeat: no-repeat;
+}
+
+.error{
+ background-image: url("img/bg.png");
+ max-height:400px;
+ background-blend-mode: multiply;
+ background-position: center;
+ background-size: cover;
+ background-repeat: no-repeat;
+}
+
+.coming-soon {
+ background-color: #2d6964;
+}
+
+.my-img {
+ height: 400px;
+}
+
+.my-img-1 {
+ height: 500px;
+ margin-left: 50px;
+}
+
+.my-img-2 {
+ display: block;
+ margin: auto;
+}
+
+.error {
+ display: block;
+ margin: auto;
+}
+
+.text-label,
+.text-hero-bold,
+.text-hero-regular {
+ margin: 24px 0;
+}
+
+
+.text-label {
+ color: #108178;
+ font-size: var(--text-regular);
+ font-weight: var(--font-weight-regular);
+ line-height: 31px;
+}
+
+.text-hero-bold {
+ color: var(--drak-brown);
+ font-size: var(--header-1);
+ font-weight: var(--font-weight-bold);
+ line-height: 74px;
+}
+
+.text-hero-regular {
+ color: var(--gray-1);
+ font-size: var(--text-regular);
+ font-weight: var(--font-weight-regular);
+ line-height: 31px;
+}
\ No newline at end of file
Index: pickle/model.pkl
IDEA additional info:
Subsystem: com.intellij.openapi.diff.impl.patch.CharsetEP
<+>UTF-8
===================================================================
diff --git a/pickle/model.pkl b/pickle/model.pkl
new file mode 100644
--- /dev/null (date 1722846071115)
+++ b/pickle/model.pkl (date 1722846071115)
@@ -0,0 +1,999 @@
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+warm_start���validation_fraction�G?��������n_iter_no_change�N�tol�G?6��C-�feature_names_in_��numpy.core.multiarray��_reconstruct����numpy��ndarray���K ��Cb���R�(KK��h �dtype����O8�����R�(K�|�NNNJ����J����K?t�b�]�(�UsingIP��LongURL��ShortURL��Symbol@��
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